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ENGINEERING, PPT 2023 HSC 23a

Draw the symbols which match the electronic components named in the table. (3 marks)

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Mean mark 57%.

CHEMISTRY, M8 2023 HSC 26

Nitric acid can be produced industrially using the process shown.

A mixture of $ \ce{NO2} $ and $ \ce{N2O4} $ enters Reactor 3 , where only $\ce{NO}_2$ is consumed by the reaction with water.
Explain, with respect to Le Chatelier's principle, what happens to the $ \ce{N2O4} $. (2 marks)

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Explain TWO improvements that can be made to the design of the process shown. (3 marks)

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a. Consider the equilibrium system in reactor 2:

$\ce{2NO2(g) \rightleftharpoons N2O4(g)}$

→ $\ce{NO2}$ is a reactant in Reactor 3 and is consumed by the reaction in Reactor 3, disrupting the equilibrium.

→ Le Chatelier’s Principle states that the position of equilibrium will shift to the left (as per the equilibrium equation above) to counter the depletion of $\ce{NO2}$.

→ This shift results in the further depletion of $\ce{N2O4}$. This process will eventually see all of the $\ce{N2O4}$ decomposing to form $\ce{NO2}$.

b. Design improvements:

→ A catalyst could be used in Reactor 1 to lower the activation energy required for the reaction to occur. This would decrease the required temperature, making the process more energy efficient.

→ Water is disposed of in Separator 3 and is required as a reactant in Reactor 3. A design improvement would be to recycle (rather than dispose) this water for use in Reactor 3.

Lung cancer can be linked to genetic causes. One of the genes frequently studied in lung cancer tissue is the Epidermal Growth Factor Receptor (EGFR) gene. It codes for EGFR protein, which is composed of one polypeptide chain.

Construct a flow chart to outline the synthesis of the EGFR protein from the EGFR gene. (4 marks)

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The structure of the EGFR protein includes a receptor and an enzyme component. The function of the protein is to help the cell to regulate cell division.

EGFR mutations are present in about 32% of cases of Non-Small Cell Lung Cancer (the most common type of lung cancer).

Explain how a mutation in the EGFR gene could result in changes in protein structure and function to increase the risk of lung cancer. (4 marks)

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ii. → A mutation is a permanent change to any section of DNA.

→ It can include the change in a single nucleotide base, the deletion or insertion of a base, which will alter all codons proceeding it, or the translation, deletion or addition or entire segments of a chromosome.

→ If this occurred in the EGFR gene, this will be copied onto the mRNA, which will be transcribed into the EGFR protein.

→ The change of the removal or addition of certain amino acids within the polypeptide chain or even the change in a single amino acid will change the function of the protein or make it unusable at all. In rare cases, this could be beneficial, or a change in an amino acid will be insignificant and not change the proteins shape.

→ In most cases however, the mutation on the EFGR gene will render it useless, leading to uncontrolled cell division (cancer).

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♦♦♦ Mean mark (i) 28%.

ii. → A mutation is a permanent change to any section of DNA.

→ If this occurred in the EGFR gene, this will be copied onto the mRNA, which will be transcribed into the EGFR protein.

→ In most cases however, the mutation on the EFGR gene will render it useless, leading to uncontrolled cell division (cancer).

♦♦ Mean mark (ii) 32%.

CHEMISTRY, M7 2020 HSC 29

The flow chart shows reactions involving five different organic compounds,

Draw the structure of each compound

in the corresponding space provided. (5 marks)

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CHEMISTRY, M7 2022 HSC 9 MC

What is the structure of `\text{CH}_3\text{C}(\text{CH}_3)_2\text{CH}_2\text{CH}(\text{CH}_3)_2`?

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`A`

Show Worked Solution

Drawing out the condensed structural formula matches the structure in A.

`=> A`

PHYSICS, M6 2019 HSC 7 MC

A bar magnet is moved away from a stationary coil.

Which diagram correctly shows the direction of the induced current in the coil and the resulting magnetic polarity of the coil?

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`D`

Show Worked Solution

The current through the solenoid will produce a force that opposes the magnets motion (Lenz’s law).

So, there will be a north pole on the right hand side of the magnet. The right hand grip rule gives the direction of current.

`=>D`

♦ Mean mark 47%.

MATRICES, FUR2 2020 VCAA 1

The three major shopping centres in a large city, Eastmall `(E)`, Grandmall `(G)` and Westmall `(W)`, are owned by the same company.

The total number of shoppers at each of the centres at 1.00 pm on a typical day is shown in matrix `V`.

`qquad qquad qquad {:(qquad qquad qquad \ E qquad qquad G qquad qquad \ W),(V = [(2300,2700,2200)]):}`

Write down the order of matrix `V`. (1 mark)

Each of these centres has three major shopping areas: food `(F)`, clothing `(C)` and merchandise `(M)`.

The proportion of shoppers in each of these three areas at 1.00 pm on a typical day is the same at all three centres and is given in matrix `P` below.

`qquad qquad qquad P = [(0.48), (0.27), (0.25)] {:(F),(C),(M):}`

Grandmall’s management would like to see 700 shoppers in its merchandise area at 1.00 pm.

If this were to happen, how many shoppers, in total, would be at Grandmall at this time? (1 mark)
The matrix `Q = P xx V` is shown below. Two of the elements of this matrix are missing.

`{:(quad qquad qquad qquad \ E qquad qquad G qquad qquad W), (Q = [(1104, \ text{___}, 1056 ), (621,\ text{___}, 594), (575, 675, 550)]{:(F),(C), (M):}):}`

1. Complete matrix `Q` above by filling in the missing elements. (1 mark)
2. The element in row `i` and column `j` of matrix `Q` is `q_(ij)`.
  
  What does the element `q_23` represent? (1 mark)

The average daily amount spent, in dollars, by each shopper in each of the three areas at Grandmall in 2019 is shown in matrix `A_2019` below.

`qquad qquad A_2019 = [(21.30), (34.00), (14.70)] {:(F),(C),(M):}`

On one particular day, 135 shoppers spent the average daily amount on food, 143 shoppers spent the average daily amount on clothing and 131 shoppers spent the average daily amount on merchandise.

Write a matrix calculation, using matrix `A_2019`, showing that the total amount spent by all these shoppers is $9663.20 (1 mark)
In 2020, the average daily amount spent by each shopper was expected to change by the percentage shown in the table below.

Area food clothing merchandise

Expected change increase by 5% decrease by 15% decrease by 1%

The average daily amount, in dollars, expected to be spent in each area in 2020 can be determined by forming the matrix product

`qquad qquad A_2020 = K xx A_2019`

Write down matrix `K`. (1 mark)

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`1 xx 3`
`2800`
i. `{:(quad qquad qquad qquad \ E qquad qquad G qquad qquad W), (Q = [(1104, 1296, 1056 ), (621, 729, 594), (575, 675, 550)]{:(F),(C), (M):}):}`
ii. `q_23\ text(represents the number of people)`
`text(in the clothing area of Westmall.)`
`text(Total spent) = [(135, 143, 131)] = [(21.30), (34.00), (14.70)] = [9663.20]`
`K = [(1.05, 0, 0),(0, 0.85, 0),(0, 0, 0.99)]`

Show Worked Solution

a. `1 xx 3`

♦ Mean mark part (b) 45%.

b.	`0.25 xx G\ text(shoppers in)\ M`	`= 700`
	`:. G\ text(shoppers in)\ M`	`= 700/0.25`
		`= 2800`

c.i.

`{:(quad qquad qquad qquad \ E qquad qquad G qquad qquad W), (Q = [(1104, 1296, 1056 ), (621, 729, 594), (575, 675, 550)]{:(F),(C), (M):}):}`

c.ii.	`q_23\ text(represents the number of people)`
	`text(in the clothing area of Westmall.)`

d. `text(Total spent) = [(135, 143, 131)] [(21.30), (34.00), (14.70)] = [9663.20]`

♦♦ Mean mark part (e) 24%.

e.	`A_2020`	`= K xx [(21.30), (34.00), (14.70)]`
	`:. K`	`= [(1.05, 0, 0),(0, 0.85, 0),(0, 0, 0.99)]`

CORE, FUR2 2020 VCAA 6

The table below shows the mean age, in years, and the mean height, in centimetres, of 648 women from seven different age groups.

What was the difference, in centimetres, between the mean height of the women in their twenties and the mean height of the women in their eighties? (1 mark)

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A scatterplot displaying this data shows an association between the mean height and the mean age of these women. In an initial analysis of the data, a line is fitted to the data by eye, as shown.

Describe this association in terms of strength and direction. (1 mark)

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The line on the scatterplot passes through the points (20,168) and (85,157).

Using these two points, determine the equation of this line. Write the values of the intercept and the slope in the appropriate boxes below.

Round your answers to three significant figures. (1 mark)

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mean height =

× mean age

In a further analysis of the data, a least squares line was fitted.

The associated residual plot that was generated is shown below.

The residual plot indicates that the association between the mean height and the mean age of women is non-linear.

The data presented in the table in part a is repeated below. It can be linearised by applying an appropriate transformation to the variable mean age.

Apply an appropriate transformation to the variable mean age to linearise the data. Fit a least squares line to the transformed data and write its equation below.

Round the values of the intercept and the slope to four significant figures. (2 marks)

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`10.4\ text(cm)`
`text(Strong and negative)`
`text(mean height) = 171 – 0.169 xx text(mean age)`
`text(mean height) = 167.9 – 0.001621 xx text{(mean age)}^2`

Show Worked Solution

a.	`text(Difference)`	`= 167.1 – 156.7`
		`= 10.4\ text(cm)`

Mean mark part b. 51%.

b. `text(Strong and negative.)`

♦♦ Mean mark part c. 23%.

c. `text(Slope) = (157 – 168)/(85 – 20) = -0.169`

`text(Equation of line)`

`y – 168`	`= -0.1692 (x – 20)`
`y`	`= -0.169x + 171`

`:.\ text(mean height) = 171 – 0.169 xx text(mean age)`

D. `text(By CAS)`

`text(mean height) = 167.9 – 0.001621 xx text{(mean age)}^2`

NETWORKS, FUR2-NHT 2019 VCAA 3

The zoo’s management requests quotes for parts of the new building works.

Four businesses each submit quotes for four different tasks.

Each business will be offered only one task.

The quoted cost, in $100 000, of providing the work is shown in Table 1 below.

The zoo’s management wants to complete the new building works at minimum cost.

The Hungarian algorithm is used to determine the allocation of tasks to businesses.

The first step of the Hungarian algorithm involves row reduction; that is, subtracting the smallest element in each row of Table 1 from each of the elements in that row.

The result of the first step is shown in Table 2 below.

The second step of the Hungarian algorithm involves column reduction; that is, subtracting the smallest element in each column of Table 2 from each of the elements in that column.

The results of the second step of the Hungarian algorithm are shown in Table 3 below. The values of Task 1 are given as `A, B, C` and `D`.

Write down the values of `A, B, C` and `D`. (1 mark)
The next step of the Hungarian algorithm involves covering all the zero elements with horizontal or vertical lines. The minimum number of lines required to cover the zeros is three.

Draw these three lines on Table 3 above. (1 mark)
An allocation for minimum cost is not yet possible.

When all steps of the Hungarian algorithm are complete, a bipartite graph can show the allocation for minimum cost.

Complete the bipartite graph below to show this allocation for minimum cost. (1 mark)

Business 4 has changed its quote for the construction of the pathways. The new cost is $1 000 000. The overall minimum cost of the building works is now reduced by reallocating the tasks.

How much is this reduction? (1 mark)

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`A = 2, B = 1, C = 1, D = 0`
`text(See Worked Solutions)`
`text(See Worked Solutions)`
`text(See Worked Solutions)`

Show Worked Solution

a. `A = 2, \ B = 1, \ C = 1, \ D = 0`

c. `text(After next step:)`

`text(Allocation): `

d. `text{Hungarian Algorithm table (complete):}`

`text(Allocation): B2 -> T3,\ B1 -> T4,\ B3 -> T2,\ B4 -> T1`

`text(C)text(ost) = 4 + 7 + 8 + 10 = 29`

`text(Previous cost) = 5 + 10 + 8 + 8 = 31`

`:.\ text(Reduction)`	`= 2 xx 100\ 000`
	`= $200\ 000`

CORE, FUR2-NHT 2019 VCAA 5

A random sample of 12 mammals drawn from a population of 62 types of mammals was categorized according to two variables.

likelihood of attack (1 = low, 2 = medium, 3 = high)

exposure to attack during sleep (1 = low, 2 = medium, 3 = high)

The data is shown in the following table.

Use this data to complete the two-way frequency table below. (1 mark)

The following two-way frequency table was formed from the data generated when the entire population of 62 types of mammals was similarly categorized.

1. How many of these 62 mammals had both a high likelihood of attack and a high exposure to attack during sleep? (1 mark)
2. Of those mammals that had a medium likelihood of attack, what percentage also had a low exposure to attack during sleep? (1 mark)
3. Does the information in the table above support the contention that likelihood of attack is associated with exposure to attack during sleep? justify your answer by quoting appropriate percentages. It is sufficient to consider only one category of likelihood of attack when justifying your answer. (2 marks)

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1. `15`
2. `text(Percentage) = (2)/(4) xx 100`
  `= 50 %`
3. `text(The data supports the contention that animals with a low likelihood)`
  `text(of attack is associated with low exposure to attack during sleep.)`
  
  `text(- 91%) \ ({31}/{34}) \ text(of animals with low exposure to attack)`
  `text(during sleep, have a low likelihood of attack.)`
  
  `text(- Similarly, 89% of animals with a medium exposure to attack during)`
  `text(sleep have a low likelihood of attack.)`
  
  `text(- 11% of animals with a high exposure to attack during sleep have)`
  `text(a low likelihood of attack)`

Show Worked Solution

b. i. `15`

ii. `text(Percentage)`	`= (2)/(4) xx 100`
	`= 50%`

iii. `text(The data supports the contention that animals with a low likelihood)`

`text(of attack is associated with low exposure to attack during sleep.)`

`text(- 91%) \ ({31}/{34}) \ text(of animals with low exposure to attack)`

`text(during sleep, have a low likelihood of attack.)`

`text(- Similarly, 89% of animals with a medium exposure to attack during)`

`text(sleep have a low likelihood of attack.)`

`text(- 11% of animals with a high exposure to attack during sleep have)`

`text(a low likelihood of attack)`

CORE, FUR2-NHT 2019 VCAA 3

The life span, in years, and gestation period, in days, for 19 types of mammals are displayed in the table below.

A least squares line that enables life span to be predicted from gestation period is fitted to this data. (1 mark)

Name the explanatory variable in the equation of this least squares line.
Determine the equation of the least squares line in terms of the variables life span and gestation period.

Write your answers in the appropriate boxes provided below.

Round the numbers representing the intercept and slope to three significant figures. (2 marks)

= + ×
Write the value of the correlation rounded to three decimal places. (1 mark)

`r =`

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`text(gestation period)`
`text(life span) = 7.58 + 0.101 xx \ text(gestation period)`
`0.904`

Show Worked Solution

a. `text(gestation period)`

b. `text(Input data points into CAS:)`

`text(life span) = 7.58 + 0.101 xx \ text(gestation period)`

c. `r = 0.904 \ text{(by CAS)}`

CORE, FUR2-NHT 2019 VCAA 1

The table below displays the average sleep time, in hours, for a sample of 19 types of mammals.

Which of the two variables, type of mammal or average sleep time, is a nominal variable? (1 mark)
Determine the mean and standard deviation of the variable average sleep time for this sample of mammals.

Write your answers in the boxes provided below.

Round your answer to one decimal place. (1 mark)

mean = hours standard deviation = hours
The average sleep time for a human is eight hours.

What percentage of this sample of mammals has an average sleep time that is less than the average sleep time for a human.

Round your answer to one decimal place. (1 mark)
The sample is increase in size by adding in the average sleep time of the little brown bat.

Its average sleep time is 19.9 hours.

By how many many hours will the range for average sleep time increase when the average sleep time for the little brown bat is added to the sample? (1 mark)

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`text(type of mammal)`
`text(mean)= 9.2 \ text(hours)`

`sigma = 4.2 \ text(hours)`
`31.6text(%)`
`5.4 \ text(hours)`

Show Worked Solution

a. `text(type of mammal is nominal)`

b. `text(mean)= 9.2 \ text(hours) \ \ text{(by CAS)}`

`sigma = 4.2 \ text(hours) \ \ text{(by CAS)}`

c. `text(Percentage)`	`= (6)/(19) xx 100`
	`= 0.3157 …`
	`= 31.6text(%)`

d. `text(Range increase)`	`= 19.9 – 14.5`
	`= 5.4 \ text(hours)`

GRAPHS, FUR2 2019 VCAA 3

Members of the association will travel to a conference in cars and minibuses:

Let `x` be the number of cars used for travel.
Let `y` be the number of minibuses used for travel.
A maximum of eight cars and minibuses in total can be used.
At least three cars must be used.
At least two minibuses must be used.

The constraints above can be represented by the following three inequalities.

`text(Inequality 1) qquad qquad x + y <= 8`

`text(Inequality 2) qquad qquad x >= 3`

`text(Inequality 3) qquad qquad y >= 2`

Each car can carry a total of five people and each minibus can carry a total of 10 people.


A maximum of 60 people can attend the conference.



Use this information to write Inequality 4.   (1 mark)

The graph below shows the four lines representing Inequalities 1 to 4.

Also shown on this graph are four of the integer points that satisfy Inequalities 1 to 4. Each of these integer points is marked with a cross (✖).

On the graph above, mark clearly, with a circle (o), the remaining integer points that satisfy Inequalities 1 to 4. (1 mark)

Each car will cost $70 to hire and each minibus will cost $100 to hire.

What is the cost for 60 members to travel to the conference? (1 mark)
What is the minimum cost for 55 members to travel to the conference? (1 mark)
Just before the cars were booked, the cost of hiring each car increased.


The cost of hiring each minibus remained $100.



All original constraints apply.



If the increase in the cost of hiring each car is more than `k` dollars, then the maximum cost of transporting members to this conference can only occur when using six cars and two minibuses.



Determine the value of `k`. (1 mark)

Show Answers Only

`5x + 10y <= 60`
`text(See Worked Solutions)`
`$680`
`$610`
`30`

Show Worked Solution

a. `5x + 10y <= 60`

c. `text(Consider the line)\ \ 5x + 10y = 60\ \ text(on the graph)`

`text(Touches the feasible region at)\ (4, 4)\ text(only)`

`:.\ text (C) text(ost of 60 members)`

`= 4 xx 70 + 4 xx 100`

`= $680`

d. `text(Coordinates that allow 55 to travel) \ => \ (5, 3) and (3, 4)`

`text(C) text(ost)\ (5, 3) = 5 xx 70 + 3 xx 100 = $650`

`text(C) text(ost)\ (3, 4) = 3 xx 70 + 4 xx 100 = $610`

`:.\ text(Minimum cost is $610)`

e. `text(Objective function): \ C = ax + 100y`

`text(Max cost occurs at)\ \ (6, 2)\ \ text(when)\ \ a > 100`

`text{(i.e. graphically when the slope of}\ \ C = ax + 100y`

`text(is steeper than)\ \ x + y= 8 text{)}`

`:. k + 70`	`= 100`
`k`	`= 30`

MATRICES, FUR2 2019 VCAA 2

The theme park has four locations, Air World `(A)`, Food World `(F)`, Ground World `(G)` and Water World `(W)`.

The number of visitors at each of the four locations is counted every hour.

By 10 am on Saturday the park had reached its capacity of 2000 visitors and could take no more visitors.

The park stayed at capacity until the end of the day

The state matrix, `S_0`, below, shows the number of visitors at each location at 10 am on Saturday.

`S_0 = [(600), (600), (400), (400)] {:(A),(F),(G),(W):}`

What percentage of the park’s visitors were at Water World `(W)` at 10 am on Saturday? (1 mark)

Let `S_n` be the state matrix that shows the number of visitors expected at each location `n` hours after 10 am on Saturday.

The number of visitors expected at each location `n` hours after 10 am on Saturday can be determined by the matrix recurrence relation below.

`{:(qquad qquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquad text( this hour)),(qquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquadqquad qquad qquad quad A qquad quad F qquad \ G \ quad quad W),({:S_0 = [(600), (600), (400), (400)], qquad S_(n+1) = T xx S_n quad quad qquad text(where):}\ T = [(0.1,0.2,0.1,0.2),(0.3,0.4,0.6,0.3),(0.1,0.2,0.2,0.1),(0.5,0.2,0.1,0.4)]{:(A),(F),(G),(W):}\ text(next hour)):}`

Complete the state matrix, `S_1`, below to show the number of visitors expected at each location at 11 am on Saturday. (1 mark)

`S_1 = [(\ text{______}\ ), (\ text{______}\ ), (300),(\ text{______}\ )]{:(A),(F),(G),(W):}`

Of the 300 visitors expected at Ground World `(G)` at 11 am, what percentage was at either Air World `(A)` or Food World `(F)` at 10 am? (1 mark)
The proportion of visitors moving from one location to another each hour on Sunday is different from Saturday.

Matrix `V`, below, shows the proportion of visitors moving from one location to another each hour after 10 am on Sunday.

`qquad qquad {:(qquadqquadqquadqquadqquadtext(this hour)),(qquad qquad qquad \ A qquad quad F qquad \ G \ quad quad W),(V = [(0.3,0.4,0.6,0.3),(0.1,0.2,0.1,0.2),(0.1,0.2,0.2,0.1),(0.5,0.2,0.1,0.4)]{:(A),(F),(G),(W):}\ text(next hour)):}`

Matrix `V` is similar to matrix `T` but has the first two rows of matrix `T` interchanged.

The matrix product that will generate matrix `V` from matrix `T` is

`qquad qquad V = M xx T`

where matrix `M` is a binary matrix.

Write down matrix `M`. (1 mark)

`qquad qquad qquad M = [( , , , , , , , , ), ( , , , , , , , , ), ( , , , , , , , , ), ( , , , , , , , , ), ( , , , , , , , , )]`

Show Answers Only

`20%`
`S_1 = [(300 ), (780), (300),(620)]{:(A),(F),(G),(W):}`
`60%`
`M = [(0,1,0,0), (1,0,0,0), (0,0,1,0), (0,0,0,1)]`

Show Worked Solution

a. `text(Total visitors)\ =2000`

`text{Percentage}\ (W)`	`= 400/2000`
	`= 20%`

b.	`S_1`	`= TS_0`
		`= [(0.1, 0.2, 0.1, 0.2),(0.3,0.4,0.6,0.3),(0.1,0.2,0.2,0.1),(0.5,0.2,0.1,0.4)][(600),(600),(400),(400)]=[(300),(780),(300),(620)]`

c.	`text(Visitors from)\ A to G`	`= 0.1 xx 600 = 60`
	`text(Visitors from)\ F to G`	`= 0.2 xx 600 = 120`

	`:.\ text(Percentage of)\ G\ text(at 11 am)`	`= (60 + 120)/300`
		`= 60%`

`M = [(0,1,0,0), (1,0,0,0), (0,0,1,0), (0,0,0,1)]`

`text(Check:)`

`M xx T = [(0,1,0,0), (1,0,0,0), (0,0,1,0), (0,0,0,1)][(0.1, 0.2, 0.1, 0.2),(0.3,0.4,0.6,0.3),(0.1,0.2,0.2,0.1),(0.5,0.2,0.1,0.4)] = [(0.3,0.4,0.6,0.3),(0.1,0.2,0.1,0.2),(0.1,0.2,0.2,0.1),(0.5,0.2,0.1,0.4)]`

MATRICES, FUR2 2019 VCAA 1

The car park at a theme park has three areas, `A, B` and `C`.

The number of empty `(E)` and full `(F)` parking spaces in each of the three areas at 1 pm on Friday are shown in matrix `Q` below.

`{:(qquad qquad qquad \ E qquad F),(Q = [(70, 50),(30, 20),(40, 40)]{:(A),(B),(C):}quad text(area)):}`

What is the order of matrix `Q`? (1 mark)
Write down a calculation to show that 110 parking spaces are full at 1 pm. (1 mark)

Drivers must pay a parking fee for each hour of parking.

Matrix `P`, below, shows the hourly fee, in dollars, for a car parked in each of the three areas.

`{:(qquad qquad qquad qquad qquad text{area}), (qquad qquad qquad A qquad quad quad B qquad qquad C), (Q = [(1.30, 3.50, 1.80)]):}`

The total parking fee, in dollars, collected from these 110 parked cars if they were parked for one hour is calculated as follows.

`qquad qquad qquad P xx L = [207.00]`

where matrix `L` is a `3 xx 1` matrix.

Write down matrix `L`. (1 mark)

The number of whole hours that each of the 110 cars had been parked was recorded at 1 pm. Matrix `R`, below, shows the number of cars parked for one, two, three or four hours in each of the areas `A, B` and `C`.

`{:(qquadqquadqquadqquadquadtext(area)),(quad qquadqquadquad \ A qquad B qquad C),(R = [(3, 1, 1),(6, 10, 3),(22, 7,10),(19, 2, 26)]{:(1),(2),(3),(4):}\ text(hours)):}`

Matrix `R^T` is the transpose of matrix `R`.

Complete the matrix `R^T` below. (1 mark)

`qquad R^T = [( , , , , , , , , ), ( , , , , , , , , ), ( , , , , , , , , ), ( , , , , , , , , ), ( , , , , , , , , )]`
Explain what the element in row 3, column 2 of matrix `R^T` represents. (1 mark)

Show Answers Only

`3 xx 2`
`50 + 20 + 40 = 110`
`L = [(50), (20), (40)]`
`R^T = [(3 ,6 , 22, 19), (1, 10, 7, 2), (1, 3, 10, 26)]`
`text(Number of cars parked in area)\ C\ text(for 2 hours).`

Show Worked Solution

a. `text(Order) : 3 xx 2`

b. `text(Add 2nd column): \ 50 + 20 + 40 = 110`

c. `L = [(50), (20), (40)]`

d. `R^T = [(3 ,6 , 22, 19), (1, 10, 7, 2), (1, 3, 10, 26)]`

e.	`e_32\ text(in)\ R^T =>`	`text(number of cars parked in area)\ C`
		`text(for 2 hours.)`

CORE, FUR2 2019 VCAA 5

The scatterplot below shows the atmospheric pressure, in hectopascals (hPa), at 3 pm (pressure 3 pm) plotted against the atmospheric pressure, in hectopascals, at 9 am (pressure 9 am) for 23 days in November 2017 at a particular weather station.

A least squares line has been fitted to the scatterplot as shown.

The equation of this line is

pressure 3 pm = 111.4 + 0.8894 × pressure 9 am

Interpret the slope of this least squares line in terms of the atmospheric pressure at this weather station at 9 am and at 3 pm. (1 mark)
Use the equation of the least squares line to predict the atmospheric pressure at 3 pm when the atmospheric pressure at 9 am is 1025 hPa.

Round your answer to the nearest whole number. (1 mark)
Is the prediction made in part b. an example of extrapolation or interpolation? (1 mark)
Determine the residual when the atmospheric pressure at 9 am is 1013 hPa.

Round your answer to the nearest whole number. (1 mark)
The mean and the standard deviation of pressure 9 am and pressure 3 pm for these 23 days are shown in Table 4 below.

1. Use the equation of the least squares line and the information in Table 4 to show that the correlation coefficient for this data, rounded to three decimal places, is `r` = 0.966 (1 mark)
2. What percentage of the variation in pressure 3 pm is explained by the variation in pressure 9 am?
  
  Round your answer to one decimal place. (1 mark)

The residual plot associated with the least squares line is shown below.

1. The residual plot above can be used to test one of the assumptions about the nature of the association between the atmospheric pressure at 3 pm and the atmospheric pressure at 9 am.
  
  What is this assumption? (1 mark)
2. The residual plot above does not support this assumption.
  
  Explain why. (1 mark)

Show Answers Only

`text(An increase in 1hPa of pressure at 9 am is associated)`
`text(with an increase of 0.8894 hPa of pressure at 3 pm.)`
`1023\ text(hPa)`
`text(Interpolation)`
`3\ text(hPa)`
1. `0.966`
2. `93.3%`
1. `text(The assumption is that a linear relationship)`
  `text(exists between the pressure at 9 am and the)`
  `text(pressure at 3 pm.)`
2. `text(The residual plot does not appear to be random.)`

Show Worked Solution

a. `text(An increase in 1hPa of pressure at 9 am is associated)`

`text(with an increase of 0.8894 hPa of pressure at 3 pm.)`

b.	`text(pressure 3 pm)`	`= 111.4 + 0.8894 xx 1025`
		`= 1023\ text(hPa)`

c. `text{Interpolation (1025 is within the given data range)}`

d.	`text(Residual)`	`= text(actual) – text(predicted)`
		`= 1015 – (111.4 + 0.8894 xx 1013)`
		`= 1015 – 1012.36`
		`= 2.63…`
		`~~ 3\ text(hPa)`

e.i. `r= b (s_x)/(s_y)`

		`= 0.8894 xx 4.5477/4.1884`
		`= 0.96569…`
		`= 0.966`

e.ii.	`r`	`= 0.966`
	`r^2`	`= 0.9331`
		`= 93.3%`

f.i.

`text(The assumption is that a linear relationship)`

`text(exists between the pressure at 9 am and the)`

`text(pressure at 3 pm.)`

f.ii. `text(The residual plot does not appear to be random.)`

EXT1 S1 Probability Tables: Negative

Probability Table for Standard Normal Distribution
Negative z-scores

z	0.00	0.01	0.02	0.03	0.04	0.05	0.06	0.07	0.08	0.09
-3.4	0.0003	0.0003	0.0003	0.0003	0.0003	0.0003	0.0003	0.0003	0.0003	0.0002
-3.3	0.0005	0.0005	0.0005	0.0004	0.0004	0.0004	0.0004	0.0004	0.0004	0.0003
-3.2	0.0007	0.0007	0.0006	0.0006	0.0006	0.0006	0.0006	0.0005	0.0005	0.0005
-3.1	0.0010	0.0009	0.0009	0.0009	0.0008	0.0008	0.0008	0.0008	0.0007	0.0007
-3.0	0.0013	0.0013	0.0013	0.0012	0.0012	0.0011	0.0011	0.0011	0.0010	0.0010
-2.9	0.0019	0.0018	0.0018	0.0017	0.0016	0.0016	0.0015	0.0015	0.0014	0.0014
-2.8	0.0026	0.0025	0.0024	0.0023	0.0023	0.0022	0.0021	0.0021	0.0020	0.0019
-2.7	0.0035	0.0034	0.0033	0.0032	0.0031	0.0030	0.0029	0.0028	0.0027	0.0026
-2.6	0.0047	0.0045	0.0044	0.0043	0.0041	0.0040	0.0039	0.0038	0.0037	0.0036
-2.5	0.0062	0.0060	0.0059	0.0057	0.0055	0.0054	0.0052	0.0051	0.0049	0.0048
-2.4	0.0082	0.0080	0.0078	0.0075	0.0073	0.0071	0.0069	0.0068	0.0066	0.0064
-2.3	0.0107	0.0104	0.0102	0.0099	0.0096	0.0094	0.0091	0.0089	0.0087	0.0084
-2.2	0.0139	0.0136	0.0132	0.0129	0.0125	0.0122	0.0119	0.0116	0.0113	0.0110
-2.1	0.0179	0.0174	0.0170	0.0166	0.0162	0.0158	0.0154	0.0150	0.0146	0.0143
-2.0	0.0228	0.0222	0.0217	0.0212	0.0207	0.0202	0.0197	0.0192	0.0188	0.0183
-1.9	0.0287	0.0281	0.0274	0.0268	0.0262	0.0256	0.0250	0.0244	0.0239	0.0233
-1.8	0.0359	0.0351	0.0344	0.0336	0.0329	0.0322	0.0314	0.0307	0.0301	0.0294
-1.7	0.0446	0.0436	0.0427	0.0418	0.0409	0.0401	0.0392	0.0384	0.0375	0.0367
-1.6	0.0548	0.0537	0.0526	0.0516	0.0505	0.0495	0.0485	0.0475	0.0465	0.0455
-1.5	0.0668	0.0655	0.0643	0.0630	0.0618	0.0606	0.0594	0.0582	0.0571	0.0559
-1.4	0.0808	0.0793	0.0778	0.0764	0.0749	0.0735	0.0721	0.0708	0.0694	0.0681
-1.3	0.0968	0.0951	0.0934	0.0918	0.0901	0.0885	0.0869	0.0853	0.0838	0.0823
-1.2	0.1151	0.1131	0.1112	0.1093	0.1075	0.1056	0.1038	0.1020	0.1003	0.0985
-1.1	0.1357	0.1335	0.1314	0.1292	0.1271	0.1251	0.1230	0.1210	0.1190	0.1170
-1.0	0.1587	0.1562	0.1539	0.1515	0.1492	0.1469	0.1446	0.1423	0.1401	0.1379
-0.9	0.1841	0.1814	0.1788	0.1762	0.1736	0.1711	0.1685	0.1660	0.1635	0.1611
-0.8	0.2119	0.2090	0.2061	0.2033	0.2005	0.1977	0.1949	0.1922	0.1894	0.1867
-0.7	0.2420	0.2389	0.2358	0.2327	0.2296	0.2266	0.2236	0.2206	0.2177	0.2148
-0.6	0.2743	0.2709	0.2676	0.2643	0.2611	0.2578	0.2546	0.2514	0.2483	0.2451
-0.5	0.3085	0.3050	0.3015	0.2981	0.2946	0.2912	0.2877	0.2843	0.2810	0.2776
-0.4	0.3446	0.3409	0.3372	0.3336	0.3300	0.3264	0.3228	0.3192	0.3156	0.3121
-0.3	0.3821	0.3783	0.3745	0.3707	0.3669	0.3632	0.3594	0.3557	0.3520	0.3483
-0.2	0.4207	0.4168	0.4129	0.4090	0.4052	0.4013	0.3974	0.3936	0.3897	0.3859
-0.1	0.4602	0.4562	0.4522	0.4483	0.4443	0.4404	0.4364	0.4325	0.4286	0.4247
0.0	0.5000	0.4960	0.4920	0.4880	0.4840	0.4801	0.4761	0.4721	0.4681	0.4641

EXT1 S1 Probability Tables: Positive v2

Probability Table for Standard Normal Distribution
Positive z-scores

z	0.00	0.01	0.02	0.03	0.04	0.05	0.06	0.07	0.08	0.09
0.0	0.5000	0.5040	0.5080	0.5120	0.5160	0.5199	0.5239	0.5279	0.5319	0.5359
0.1	0.5398	0.5438	0.5478	0.5517	0.5557	0.5596	0.5636	0.5675	0.5714	0.5753
0.2	0.5793	0.5832	0.5871	0.5910	0.5948	0.5987	0.6026	0.6064	0.6103	0.6141
0.3	0.6179	0.6217	0.6255	0.6293	0.6331	0.6368	0.6406	0.6443	0.6480	0.6517
0.4	0.6554	0.6591	0.6628	0.6664	0.6700	0.6736	0.6772	0.6808	0.6844	0.6879
0.5	0.6915	0.6950	0.6985	0.7019	0.7054	0.7088	0.7123	0.7157	0.7190	0.7224
0.6	0.7257	0.7291	0.7324	0.7357	0.7389	0.7422	0.7454	0.7486	0.7517	0.7549
0.7	0.7580	0.7611	0.7642	0.7673	0.7704	0.7734	0.7764	0.7794	0.7823	0.7852
0.8	0.7881	0.7910	0.7939	0.7967	0.7995	0.8023	0.8051	0.8078	0.8106	0.8133
0.9	0.8159	0.8186	0.8212	0.8238	0.8264	0.8289	0.8315	0.8340	0.8365	0.8389
1.0	0.8413	0.8438	0.8461	0.8485	0.8508	0.8531	0.8554	0.8577	0.8599	0.8621
1.1	0.8643	0.8665	0.8686	0.8708	0.8729	0.8749	0.8770	0.8790	0.8810	0.8830
1.2	0.8849	0.8869	0.8888	0.8907	0.8925	0.8944	0.8962	0.8980	0.8997	0.9015
1.3	0.9032	0.9049	0.9066	0.9082	0.9099	0.9115	0.9131	0.9147	0.9162	0.9177
1.4	0.9192	0.9207	0.9222	0.9236	0.9251	0.9265	0.9279	0.9292	0.9306	0.9319
1.5	0.9332	0.9345	0.9357	0.9370	0.9382	0.9394	0.9406	0.9418	0.9429	0.9441
1.6	0.9452	0.9463	0.9474	0.9484	0.9495	0.9505	0.9515	0.9525	0.9535	0.9545
1.7	0.9554	0.9564	0.9573	0.9582	0.9591	0.9599	0.9608	0.9616	0.9625	0.9633
1.8	0.9641	0.9649	0.9656	0.9664	0.9671	0.9678	0.9686	0.9693	0.9699	0.9706
1.9	0.9713	0.9719	0.9726	0.9732	0.9738	0.9744	0.9750	0.9756	0.9761	0.9767
2.0	0.9772	0.9778	0.9783	0.9788	0.9793	0.9798	0.9803	0.9808	0.9812	0.9817
2.1	0.9821	0.9826	0.9830	0.9834	0.9838	0.9842	0.9846	0.9850	0.9854	0.9857
2.2	0.9861	0.9864	0.9868	0.9871	0.9875	0.9878	0.9881	0.9884	0.9887	0.9890
2.3	0.9893	0.9896	0.9898	0.9901	0.9904	0.9906	0.9909	0.9911	0.9913	0.9916
2.4	0.9918	0.9920	0.9922	0.9925	0.9927	0.9929	0.9931	0.9932	0.9934	0.9936
2.5	0.9938	0.9940	0.9941	0.9943	0.9945	0.9946	0.9948	0.9949	0.9951	0.9952
2.6	0.9953	0.9955	0.9956	0.9957	0.9959	0.9960	0.9961	0.9962	0.9963	0.9964
2.7	0.9965	0.9966	0.9967	0.9968	0.9969	0.9970	0.9971	0.9972	0.9973	0.9974
2.8	0.9974	0.9975	0.9976	0.9977	0.9977	0.9978	0.9979	0.9979	0.9980	0.9981
2.9	0.9981	0.9982	0.9982	0.9983	0.9984	0.9984	0.9985	0.9985	0.9986	0.9986
3.0	0.9987	0.9987	0.9987	0.9988	0.9988	0.9989	0.9989	0.9989	0.9990	0.9990
3.1	0.9990	0.9991	0.9991	0.9991	0.9992	0.9992	0.9992	0.9992	0.9993	0.9993
3.2	0.9993	0.9993	0.9994	0.9994	0.9994	0.9994	0.9994	0.9995	0.9995	0.9995
3.3	0.9995	0.9995	0.9995	0.9996	0.9996	0.9996	0.9996	0.9996	0.9996	0.9997
3.4	0.9997	0.9997	0.9997	0.9997	0.9997	0.9997	0.9997	0.9997	0.9997	0.9998

CORE, FUR2 2018 VCAA 3

Table 3 shows the yearly average traffic congestion levels in two cities, Melbourne and Sydney, during the period 2008 to 2016. Also shown is a time series plot of the same data.

The time series plot for Melbourne is incomplete.

Use the data in Table 3 to complete the time series plot above for Melbourne. (1 mark)

(Answer on the time series plot above.)
A least squares line is used to model the trend in the time series plot for Sydney. The equation is

`text(congestion level = −2280 + 1.15 × year)`
1. Draw this least squares line on the time series plot. (1 mark)
  
  (Answer on the time series plot above.)
2. Use the equation of the least squares line to determine the average rate of increase in percentage congestion level for the period 2008 to 2016 in Sydney.
  
  Write your answer in the box provided below. (1 mark)

% per year

1. Use the least squares line to predict when the percentage congestion level in Sydney will be 43%. (1 mark)

The yearly average traffic congestion level data for Melbourne is repeated in Table 4 below.

When a least squares line is used to model the trend in the data for Melbourne, the intercept of this line is approximately –1514.75556

Round this value to four significant figures. (1 mark)
Use the data in Table 4 to determine the equation of the least squares line that can be used to model the trend in the data for Melbourne. The variable year is the explanatory variable.

Write the values of the intercept and the slope of this least squares line in the appropriate boxes provided below.

Round both values to four significant figures. (2 marks)

congestion level =

× year

Since 2008, the equations of the least squares lines for Sydney and Melbourne have predicted that future traffic congestion levels in Sydney will always exceed future traffic congestion levels in Melbourne.

Explain why, quoting the values of appropriate statistics. (2 marks)

Show Answers Only

`text(See Worked Solutions)`
1. `text(See Worked Solutions)`
2. `1.15 text(%)`
3. `2020`
`-1515`
`text(congestion level) = -1515 + 0.7667 xx text(year)`
`text(See Worked Solutions)`

Show Worked Solution

b.i.

b.ii. `text(The least squares line is 1.15% higher each year.)`

♦ Mean mark (b)(ii) 36%.
COMMENT: Major problems caused by part (b)(ii). Review!

` :.\ text(Average rate of increase) = 1.15 text(%)`

b.iii.	`text(Find year when:)`
	`43`	`= -2280 + 1.15 xx text(year)`
	`text(year)`	`= 2323/1.15`
		`= 2020`

c. `-1515`

d. `text(congestion level) = -1515 + 0.7667 xx text(year)`

e. `text(Melbourne congestion level in 2008)`

♦♦♦ Mean mark 18%.

`= -1515 + 0.7667 xx 2008`

`= 24.5 text(%)`

`text{In 2008 Sydney has higher congestion (29.2 > 24.5)}`

`text(After 2008, Sydney congestion grows at 1.15% per)`

`text(year and Melbourne grows at 0.7667% per year.)`

`:.\ text(Sydney predicted to always exceed Melbourne.)`

CORE, FUR2 2018 VCAA 1

The data in Table 1 relates to the impact of traffic congestion in 2016 on travel times in 23 cities in the United Kingdom (UK).

The four variables in this data set are:

city — name of city
congestion level — traffic congestion level (high, medium, low)
size — size of city (large, small)
increase in travel time — increase in travel time due to traffic congestion (minutes per day).

How many variables in this data set are categorical variables? (1 mark)
How many variables in this data set are ordinal variables (1 mark)
Name the large UK cities with a medium level of traffic congestion. (1 mark)
Use the data in Table 1 to complete the following two-way frequency table, Table 2. (2 marks)
What percentage of the small cities have a high level of traffic congestion? (1 mark)

Traffic congestion can lead to an increase in travel times in cities. The dot plot and boxplot below both show the increase in travel time due to traffic congestion, in minutes per day, for the 23 UK cities.

Describe the shape of the distribution of the increase in travel time for the 23 cities. (1 mark)
The data value 52 is below the upper fence and is not an outlier.

Determine the value of the upper fence. (1 mark)

Show Answers Only

`3\ text(city, congestion level, size)`
`2\ text(congestion level, size)`
`text(Newcastle-Sunderland and Liverpool)`
`text(See Worked Solutions)`
`25 text(%)`
`text(Positively skewed)`
`52.5`

Show Worked Solution

a. `3\ – text(city, congestion level, size)`

b. `2\ – text(congestion level, size)`

c. `text(Newcastle-Sunderland and Liverpool)`

e.	`text(Percentage)`	`= text(Number of small cities high congestion)/text(Number of small cities) xx 100`
		`= 4/16 xx 100`
		`= 25 text(%)`

f. `text(Positively skewed)`

g. `IQR = 39 – 30 = 9`

`text(Calculate the Upper Fence:)`

`Q_3 + 1.5 xx IQR`	`= 39 + 1.5 xx 9`
	`= 52.5`

Harder Ext1 Topics, EXT2 2018 HSC 13d

The points `P(cp, c/p)` and `Q(cp, c/q)` lie on the rectangular hyperbola `xy = c^2`.

The line `PQ` has equation `x + pqy = c(p + q)`. (Do NOT prove this.)

The `x` and `y` intercepts of `PQ` are `R` and `S` respectively, as shown in the diagram.

Show that `PS = QR`. (3 marks)

The point `T(2at, at^2)` lies on the parabola `x^2 = 4ay`. The tangent to the parabola at `T` intersects the rectangular hyperbola `xy = c^2` at `A` and `B` and has equation `y = tx - at^2`. (Do NOT prove this.) The point `M` is the midpoint of the interval `AB`. One such case is shown in the diagram.

Using part (i), or otherwise, show that `M` lies on the parabola `2x^2 = −ay`. (2 marks)

Show Answers Only

`text(See Worked Solutions)`
`text(See Worked Solutions)`

Show Worked Solution

i. `P(cp, c/p)\ text(and)\ Q(cq, c/q)`

`PQ:\ \ x + pqy = c(p + q)`

`text(When)\ \ y = 0, x = c(p + q)`

`=> R(c(p + q), 0)`

`text(When)\ x = 0, y = (c(p + q))/(pq)`

`=> S(0, (c(p + q))/(pq))`

`text(Using Pythagoras:)`

`(PS)^2`	`= (0 – cp)^2 + ((c(p + q))/(pq) – c/p)^2`
	`= c^2p^2 + (c/q + c/p – c/p)^2`
	`= c^2p^2 + (c^2)/(q^2)`

`(QR)^2`	`= (cq – c(p + q))^2 + (c^2)/(q^2)`
	`= (cq – cp – cq)^2 + (c^2)/(q^2)`
	`= c^2p^2 + (c^2)/(q^2)`

`:. PS = QR\ \ \ text(… as required)`

ii. `y = tx – at^2`

♦ Mean mark part (ii) 50%.

`=> xtext(-intercept at)\ \ R(at, 0)`

`=> ytext(-intercept at)\ \ S(0,−at^2)`

`text(S)text(ince)\ \ AR = BS\ \ \ (text{from part(i)})`

`M_(AB)`

`= M_(RS)= ((at)/2, (−at^2)/2)“

`text(Find locus of)\ M:`

`x = (at)/2 \ => \ t = (2x)/a`

`y`	`= (−at^2)/2`
	`= −a/2 xx ((2x)/a)^2`
	`= (−2x^2)/a`
`:. 2x^2`	`= −ay\ \ \ text(… as required)`

Algebra, MET2 2017 VCAA 4

Let `f : R → R :\ f (x) = 2^(x + 1)-2`. Part of the graph of `f` is shown below.

The transformation `T: R^2 -> R^2, \ T([(x),(y)]) = [(x),(y)] + [(c),(d)]` maps the graph of `y = 2^x` onto the graph of `f`.

State the values of `c` and `d`. (2 marks)
Find the rule and domain for `f^(−1)`, the inverse function of `f`. (2 marks)
Find the area bounded by the graphs of `f` and `f^(−1)`. (3 marks)
Part of the graphs of `f` and `f^(−1)` are shown below.

Find the gradient of `f` and the gradient of `f^(−1)` at `x = 0`. (2 marks)

The functions of `g_k`, where `k ∈ R^+`, are defined with domain `R` such that `g_k(x) = 2e^(kx)-2`.

Find the value of `k` such that `g_k(x) = f(x)`. (1 mark)
Find the rule for the inverse functions `g_k^(−1)` of `g_k`, where `k ∈ R^+`. (1 mark)
1. Describe the transformation that maps the graph of `g_1` onto the graph of `g_k`. (1 mark)
2. Describe the transformation that maps the graph of `g_1^(–1)` onto the graph of `g_k^(–1)`. (1 mark)
The lines `L_1` and `L_2` are the tangents at the origin to the graphs of `g_k` and `g_k^(–1)` respectively.
Find the value(s) of `k` for which the angle between `L_1` and `L_2` is 30°. (2 marks)
Let `p` be the value of `k` for which `g_k(x) = g_k^(−1)(x)` has only one solution.
i. Find `p`. (2 marks)
ii. Let `A(k)` be the area bounded by the graphs of `g_k` and `g_k^(–1)` for all `k > p`.
State the smallest value of `b` such that `A(k) < b`. (1 mark)

Show Answers Only

a. `c = −1, \ d = −2`

b. `f^(−1)(x) = log_2 (x + 2)-1, \ x ∈ (−2,∞)`

c. `3-2/(log_e(2))\ text(units)²`

d. `f′(0)= 2log_e(2) and f^(-1′)(0)= 1/(2log_e(2))`

e. `k = log_e(2)`

f. `g_k^(−1)(x)== 1/k log_e((x + 2)/2)`

g.i. `text(Dilation by factor of)\ 1/k\ text(from the)\ ytext(-axis)`

g.ii. `text(Dilation by factor of)\ 1/k\ text(from the)\ xtext(-axis)`

h. `k=sqrt3/6\ or\ sqrt3/2`

i.i. `p = 1/2`

i.ii. `b=4`

Show Worked Solution

a. `text(Using the matrix transformation:)`

`x′`	`=x+c\ \ => x=x′-c`
`y′`	`=y+d\ \ =>y= y′-d`

`y′-d`	`=2^(x′-c)`
`y′`	`= 2^(x′-c)+d`

`:. c = −1, \ d = −2`

b. `text(Let)\ \ y = f(x)`

`text(Inverse : swap)\ x\ ↔ \ y`

`x`	`= 2^(y + 1)-2`
`x + 2`	`= 2^(y + 1)`
`y + 1`	`= log_2(x + 2)`
`y`	`= log_2(x + 2)-1`

`text(dom)(f^(−1)) = text(ran)(f)`

`:. f^(−1)(x) = log_2 (x + 2)-1, \ x ∈ (−2,∞)`

c. `text(Intersection points occur when)\ \ f(x)=f^(−1)(x)`

MARKER’S COMMENT: Specifically recommends using `f^(-1)(x)-f(x)` in this type of integral to avoid errors in stating the integral.

`x`

`= −1, 0`

`text(Area)`	`= int_(−1)^0 (f^(−1)(x)-f(x))\ dx`
	`= 3-2/(log_e(2))\ text(units)²`

d.	`f′(0)`	`= 2log_e(2)`
	`f^(-1′)(0)`	`= 1/(2log_e(2))`

e. `g_k(x) = 2e^(kx)-2`

`text(Solve:)\ \ g_k(x) = f(x)quad text(for)\ k ∈ R^+`

`:. k = log_e(2)`

f. `text(Let)\ \ y = g_k(x)`

`text(Inverse : swap)\ x\ text(and)\ y`

`x`	`= 2e^(ky)-2`
`e^(ky)`	`=(x+2)/2`
`ky`	`=log_e((x+2)/2)`
`:. g_k^(−1)(x)`	`= 1/k log_e((x + 2)/2)`

♦♦ Mean mark part (g)(i) 31%.

g.i.	`g_1(x)`	`= 2e^x-2`
	`g_k(x)`	`= 2e^(kx)-2`

`:. text(Dilation by factor of)\ 1/k\ text(from the)\ ytext(-axis)`

♦♦ Mean mark part (g)(ii) 30%.

g.ii.	`g_1^(−1)(x)`	`= log_e((x + 2)/2)`
	`g_k^(−1)(x)`	`= 1/klog_e((x + 2)/2)`

`:. text(Dilation by factor of)\ 1/k\ text(from the)\ xtext(-axis)`

h. `text(When)\ \ x=0,`

♦♦♦ Mean mark part (h) 13%.

`g_k′(0)=2k\ \ => m_(L_1)=2k`

`g_k^(-1′)(0)=1/(2k)\ \ => m_(L_2)=1/(2k)`

`text(Using)\ \ tan 30^@=|(m_1-m_2)/(1+m_1m_2)|,`

`text(Solve:)\ \ 1/sqrt3`

`=+- ((2k-1/(2k)))/2\ \ text(for)\ k`

`:. k=sqrt3/6\ or\ sqrt3/2`

i.i `text(By inspection, graphs will touch once if at)\ \ x=0,`

♦♦♦ Mean mark part (i)(i) 4%.

`m_(L_1)`	`=m_(L_2)`
`2k`	`=1/(2k)`
`k`	`=1/2,\ \ (k>0)`

`:. p = 1/2`

i.ii `text(As)\ k→oo, text(the graph of)\ g_k\ text(approaches)\ \ x=0`

♦♦♦ Mean mark part (i)(ii) 2%.

`text{(vertically) and}\ \ y=–2\ \ text{(horizontally).}`

`text(Similarly,)\ \ g_k^(-1)\ \ text(approaches)\ \ x=–2`

`text{(vertically) and}\ \ y=0\ \ text{(horizontally).}`

`:. lim_(k→oo) A(k) = 4`

`:.b=4`

Algebra, MET2 2017 VCAA 2

Sammy visits a giant Ferris wheel. Sammy enters a capsule on the Ferris wheel from a platform above the ground. The Ferris wheel is rotating anticlockwise. The capsule is attached to the Ferris wheel at point `P`. The height of `P` above the ground, `h`, is modelled by `h(t) = 65 - 55cos((pit)/15)`, where `t` is the time in minutes after Sammy enters the capsule and `h` is measured in metres.

Sammy exits the capsule after one complete rotation of the Ferris wheel.

State the minimum and maximum heights of `P` above the ground. (1 mark)
For how much time is Sammy in the capsule? (1 mark)
Find the rate of change of `h` with respect to `t` and, hence, state the value of `t` at which the rate of change of `h` is at its maximum. (2 marks)

As the Ferris wheel rotates, a stationary boat at `B`, on a nearby river, first becomes visible at point `P_1`. `B` is 500 m horizontally from the vertical axis through the centre `C` of the Ferris wheel and angle `CBO = theta`, as shown below.

Find `theta` in degrees, correct to two decimal places. (1 mark)

Part of the path of `P` is given by `y = sqrt(3025 - x^2) + 65, x ∈ [−55,55]`, where `x` and `y` are in metres.

Find `(dy)/(dx)`. (1 mark)

As the Ferris wheel continues to rotate, the boat at `B` is no longer visible from the point `P_2(u, v)` onwards. The line through `B` and `P_2` is tangent to the path of `P`, where angle `OBP_2 = alpha`.

Find the gradient of the line segment `P_2B` in terms of `u` and, hence, find the coordinates of `P_2`, correct to two decimal places. (3 marks)
Find `alpha` in degrees, correct to two decimal places. (1 mark)
Hence or otherwise, find the length of time, to the nearest minute, during which the boat at `B` is visible. (2 marks)

Show Answers Only

`h_text(min) = 10\ text(m), h_text(max) = 120\ text(m)`
`30\ text(min)`
`t = 7.5`
`7.41^@`
`(−x)/(sqrt(3025 – x^2))`
`P_2(13.00, 118.44)`
`13.67^@`
`7\ text(min)`

Show Worked Solution

a.	`h_text(min)`	`= 65 – 55`	`h_text(max)`	`= 65 + 55`
		`= 10\ text(m)`		`= 120\ text(m)`

b. `text(Period) = (2pi)/(pi/15) = 30\ text(min)`

c. `h′(t) = (11pi)/3\ sin(pi/15 t)`

♦ Mean mark 50%.
MARKER’S COMMENT: A number of commons errors here – 2 answers given, calc not in radian mode, etc …

`text(Solve)\ h″(t) = 0, t ∈ (0,30)`

`t = 15/2\ \ text{(max)}`

`text(or)`

`t = 45/2\ \ text{(min – descending)}`

`:. t = 7.5`

♦ Mean mark 36%.
MARKER’S COMMENT: Choosing degrees vs radians in the correct context was critical here.

`tan(theta)`	`= 65/500`
`:. theta`	`=7.406…`
	`= 7.41^@`

`(dy)/(dx)`

`= (−x)/(sqrt(3025 – x^2))`

`P_2(u,sqrt(3025-u^2) + 65),\ \ B(500,0)`

`:. m_(P_2B)`

`= (sqrt(3025 – u^2) + 65)/(u – 500)`

`text{Using part (e), when}\ \ x=u,`

♦♦♦ Mean mark part (f) 18%.
MARKER’S COMMENT: Many students were unable to use the rise over run information to calculate the second gradient.

`dy/dx=(−u)/(sqrt(3025 – u^2))`

`text{Solve (by CAS):}`

`(sqrt(3025 – u^2) + 65)/(u – 500)`

`= (−u)/(sqrt(3025 – u^2))\ \ text(for)\ u`

`u=12.9975…=13.00\ \ text{(2 d.p.)}`

`:. v`	`= sqrt(3025 – (12.9975…)^2) + 65`
	`= 118.4421…`
	`= 118.44\ \ text{(2 d.p.)}`

`:.P_2(13.00, 118.44)`

♦♦♦ Mean mark part (g) 7%.

g.	`tan alpha`	`=v/(500-u)`
		`= (118.442…)/(500 – 12.9975…)`
	`:. alpha`	`= 13.67^@\ \ text{(2 d.p.)}`

♦♦♦ Mean mark 5%.

`text(Find the rotation between)\ P_1 and P_2:`

`text(Rotation to)\ P_1 = 90-7.41=82.59^@`

`text(Rotation to)\ P_2 = 180-13.67=166.33^@`

`text(Rotation)\ \ P_1 → P_2 = 166.33-82.59 = 83.74^@`

`:.\ text(Time visible)`	`= 83.74/360 xx 30\ text(min)`
	`=6.978…`
	`= 7\ text{min (nearest degree)}`

MATRICES, FUR1 2017 VCAA 4 MC

A permutation matrix, `P`, can be used to change `[(F),(E),(A),(R),(S)]` into `[(S),(A),(F),(E),(R)]`.

Matrix `P` is

`[(0,0,1,0,1),(0,0,1,1,0),(1,1,0,0,0),(0,1,0,0,1),(1,0,0,1,0)]`

`[(0,0,0,1,0),(0,0,1,0,0),(0,1,0,0,0),(0,0,0,0,1),(1,0,0,0,0)]`

`[(0,0,0,0,1),(0,0,1,0,0),(1,0,0,0,0),(0,1,0,0,0),(0,0,0,1,0)]`

`[(1,0,0,0,1),(0,1,1,0,0),(1,0,1,0,0),(0,1,0,1,0),(0,0,0,1,1)]`

`[(0,0,0,0,1),(0,0,1,0,0),(0,1,0,0,0),(1,0,0,0,0),(0,0,0,1,0)]`

Show Answers Only

`C`

Show Worked Solution

`[(0,0,0,0,1),(0,0,1,0,0),(1,0,0,0,0),(0,1,0,0,0),(0,0,0,1,0)][(F),(E),(A),(R),(S)] = [(S),(A),(F),(E),(R)]`

`=> C`

GRAPHS, FUR1 2017 VCAA 8 MC

The shaded area in the graph below shows the feasible region for a linear programming problem.

The objective function is given by

`Z = mx + ny`

Which one of the following statements is not true?

When `m = 4` and `n = 1`, the minimum value of `Z` is at point `A`.
When `m = 1` and `n = 6`, the maximum value of `Z` is at point `B`.
When `m = 2` and `n = 5`, the minimum value of `Z` is at point `C`.
When `m = 2` and `n = 6`, the maximum value of `Z` is at point `D`.
When `m = 12` and `n = 1`, the maximum value of `Z` is at point `E`.

Show Answers Only

`D`

Show Worked Solution

`text(By trial and error: Consider option)\ D`

`Z`	`= 2x + 6y`
`6y`	`= −2x + Z`
`y`	`= −1/3x + Z/6`

`text(By applying the sliding rule technique for function)`

`text(with gradient of)\ −1/3, text(the maximum value)`

`text(occurs at point)\ B,\ text(not point)\ D.`

`=> D`

GRAPHS, FUR1 2017 VCAA 4 MC

The annual fee for membership of a car club, in dollars, based on years of membership of the club is shown in the step graph below.

In the Martin family:

• Hayley has been a member of the club for four years
• John has been a member of the club for 20 years
• Sharon has been a member of the club for 25 years.

What is the total fee for membership of the car club for the Martin family?

`$200`
`$600`
`$720`
`$900`
`$940`

Show Answers Only

`E`

Show Worked Solution

`text(Total Fee)`	`= 500 + 240 + 200`
	`= $940`

`=> E`

GRAPHS, FUR1 2017 VCAA 3 MC

The point (5, 100) lies on the graph of `y = kx^2`, as shown below.

The value of `k` is

`1/4`
`4`
`5`
`20`
`40`

Show Answers Only

`B`

Show Worked Solution

`y`	`= kx^2\ text{passes through (5, 100)}`
`100`	`= k xx 5^2`
`:. k`	`= 100/25`
	`= 4`

`=> B`

GRAPHS, FUR1 2017 VCAA 2 MC

The graph below shows the volume of water in a water tank between 7 am and 5 pm on one day.

Which one of the following statements is true?

The volume of water in the tank decreases between 8 am and 11 am.
The volume of water in the tank increases at the greatest rate between 4 pm and 5 pm.
The volume of water in the tank is constant between 12 noon and 2 pm.
The tank is filled with water at a constant rate of 100 L per hour.
More water enters the tank during the first five hours than during the last five hours.

Show Answers Only

`C`

Show Worked Solution

`text(Consider option:)\ C`

`text(The volume in the tank is unchanged between 12-2 pm,)`

`text(denoted by a horizontal line in the graph.)`

`=> C`

NETWORKS, FUR1 2017 VCAA 3 MC

Consider the following graph.

The adjacency matrix for this graph, with some elements missing, is shown below.

This adjacency matrix contains 16 elements when complete.

Of the 12 missing elements

eight are ‘1’ and four are ‘2’.
four are ‘1’ and eight are ‘2’.
six are ‘1’ and six are ‘2’.
two are ‘0’, six are ‘1’ and four are ‘2’.
four are ‘0’, four are ‘1’ and four are ‘2’.

Show Answers Only

`A`

Show Worked Solution

`text(Completing the adjacency matrix:)`

`=> A`

NETWORKS, FUR1 2017 VCAA 1 MC

Which one of the following graphs contains a loop?

A.	B.

C.	D.

E.

Show Answers Only

`B`

Show Worked Solution

`text(A loop occurs when an edge connects a vertex to)`

`text{itself (without going through an other node).}`

`=> B`

Calculus, MET2 2016 VCAA 4

Express `(2x + 1)/(x + 2)` in the form `a + b/(x + 2)`, where `a` and `b` are non-zero integers. (2 marks)
Let `f: R text(\){−2} -> R,\ f(x) = (2x + 1)/(x + 2)`.
i. Find the rule and domain of `f^(-1)`, the inverse function of `f`. (2 marks)
ii. Part of the graphs of `f` and `y = x` are shown in the diagram below.
Find the area of the shaded region. (1 mark)
iii. Part of the graphs of `f` and `f^(-1)` are shown in the diagram below.

Find the area of the shaded region. (1 mark)

Part of the graph of `f` is shown in the diagram below.

The point `P(c, d)` is on the graph of `f`.

Find the exact values of `c` and `d` such that the distance of this point to the origin is a minimum, and find this minimum distance. (3 marks)

Let `g: (−k, oo) -> R, g(x) = (kx + 1)/(x + k)`, where `k > 1`.

Show that `x_1 < x_2` implies that `g(x_1) < g(x_2),` where `x_1 in (−k, oo) and x_2 in (−k, oo)`. (2 marks)
Let `X` be the point of intersection of the graphs of `y = g (x) and y = −x`.
i. Find the coordinates of `X` in terms of `k`. (2 marks)
ii. Find the value of `k` for which the coordinates of `X` are `(-1/2, 1/2)`. (2 marks)
iii. Let `Ztext{(− 1, − 1)}, Y(1, 1)` and `X` be the vertices of the triangle `XYZ`. Let `s(k)` be the square of the area of triangle `XYZ`.

Find the values of `k` such that `s(k) >= 1`. (2 marks)
The graph of `g` and the line `y = x` enclose a region of the plane. The region is shown shaded in the diagram below.

Let `A(k)` be the rule of the function `A` that gives the area of this enclosed region. The domain of `A` is `(1, oo)`.
i. Give the rule for `A(k)`. (2 marks)
ii. Show that `0 < A(k) < 2` for all `k > 1`. (2 marks)

Show Answers Only

`2 + {(−3)}/(x + 2)`
i. `f^(-1) (x) = (-3)/(x – 2) – 2,\ \ x in R text(\){2}`
ii. `4 – 3 ln(3)\ text(units²)`
iii. `8 – 6 log_e (3)\ text(units²)`
`c = sqrt 3 – 2, \ d = 2 – sqrt 3`
`text(min distance) = (2 sqrt 2 – sqrt 6)`
`text(Proof)\ \ text{(See Worked Solutions)}`
i. `X (−k + sqrt (k^2 – 1), k – sqrt (k^2 – 1))`
ii. `k = 5/4`
iii. `k in (1, 5/4]`
i. `A(k) = (k^2 – 1) log_e ((k – 1)/(k + 1)) + 2k`
ii. `text(Proof)\ \ text{(See Worked Solutions)}`

Show Worked Solution

a. `text(Solution 1)`

`(2x + 1)/(x + 2)`	`= 2 – 3/(x + 2)`
	`= 2 + {(-3)}/(x + 2) qquad [text(CAS: prop Frac) ((2x + 1)/(x + 2))]`

`text(Solution 2)`

`(2x + 1)/(x + 2)`	`=(2(x+2)-3)/(x+2)`
	`=2+ (-3)/(x+2)`

b.i. `text(Let)\ \ y = f(x)`

`text(For Inverse: swap)\ \ x ↔ y`

`x`	`=2 – 3/(y + 2)`
`(x-2)(y+2)`	`=-3`
`y`	`=(-3)/(x-2)-2`

`text(Range of)\ f(x):\ \ y in R text(\){2}`

`:. f^(-1) (x) = (-3)/(x – 2) – 2, \ x in R text(\){2}`

b.ii. `text(Find intersection points:)`

`f(x)`	`= x`
`(2x+1)/(x+2)`	`=x`
`2x+1`	`=x^2+2x`
`:. x`	`= +- 1`
`:.\ text(Area)`	`= int_(-1)^1 (f(x) – x)\ dx`
	`=int_(-1)^1 (2 – 3/(x + 2) – x)\ dx`
	`= 4 – 3 ln(3)\ text(u²)`

b.iii.	`text(Area)`	`= int_(-1)^1 (f(x) – f^(-1) (x)) dx`
		`=2 xx (4 – 3 ln(3))\ \ \ text{(twice the area in (b)(ii))}`
		`= 8 – 6 log_e (3)\ text(u²)`

♦♦♦ Mean mark part (c) 25%.

c.
	`text(Let)\ \ z`	`= OP, qquad P(c, -3/(c + 2) + 2)`
	`z`	`= sqrt (c^2 + (2 – 3/(c + 2))^2), \ c > -2`

`text(Stationary point when:)`

`(dz)/(dc) = 0, c > -2`

`:.\ c = sqrt 3 – 2 overset and (->) d = 2 – sqrt 3`

`:. text(Minimum distance) = (2 sqrt 2 – sqrt 6)`

d. `text(Given:)\ \ -k < x_1 < x_2`

♦♦♦ Mean mark part (d) 8%.

`text(Must prove:)\ \ g(x_2) – g(x_1) > 0`

`text(LHS:)`

`g(x_2) – g(x_1)`

`= (kx_2 +1)/(x_2+k) – (kx_1 +1)/(x_1+k)`

`=((kx_2 +1)(x_1+k)-(kx_1 +1)(x_2+k))/((x_2+k)(x_1+k))`

`=(k^2(x_2-x_1) – (x_2-x_1))/((x_2+k)(x_1+k))`

`=((k^2-1)(x_2-x_1))/((x_2+k)(x_1+k))`

`x_2 – x_1 >0,\ and \ k^2-1>0`

`text(S)text(ince)\ \ x_2>x_1> -k,`

`=> -x_2<-x_1<k`

`=>k+x_1 >0, \ and \ k+x_2>0`

`:.g(x_2) – g(x_1) >0`

`:. g(x_2) > g(x_1)`

♦♦ Mean mark part (e)(i) 32%.

e.i.	`g(x)`	`= -x`
	`(kx +1)/(x+k)`	`=-x`
	`kx+1`	`=-x^2-xk`
	`x^2+2k+1`	`=0`
	`:. x`	`=(-2k +- sqrt(4k^2-4))/2`
		`= sqrt (k^2 – 1) – k\ \ text(for)\ \ x > -k`

`:. X (-k + sqrt(k^2 – 1),\ \ k – sqrt(k^2 – 1))`

e.ii. `text(Equate)\ \ x text(-coordinates:)`

♦ Mean mark part (e)(ii) 44%.

`-k + sqrt(k^2 – 1)`	`= -1/2`
`sqrt(k^2 – 1)`	`=k-1/2`
`k^2-1`	`=k^2-k+1/4`
`:. k`	`= 5/4`

e.iii.	`s(k)`	`= (1/2 xx YZ xx XO)^2`
		`= 1/4 xx (YZ)^2 xx (XO)^2`

`ZO = sqrt(1^2+1^2) = sqrt2`

♦♦♦ Mean mark (e)(iii) 6%.

`YZ=2 xx ZO = 2sqrt2`

`(YZ)^2 = 8`

`(XO)^2`	`=(-k + sqrt(k^2 – 1))^2 – (k – sqrt (k^2 – 1))^2`
	`=2(-k + sqrt(k^2 – 1))^2`

`text(Solve)\ \ s(k) >= 1\ \ text(for)\ \ k >= 1,`

`1/4 xx 8 xx 2(-k + sqrt(k^2 – 1))^2`	`>=1`
`(-k + sqrt(k^2 – 1))^2`	`>=1/4`
`k-sqrt(k^2-1)`	`>=1/2`
`k-1/2`	`>= sqrt(k^2-1)`
`k^2-k+1/4`	`>=k^2-1`
`:.k`	`<= 5/4`

`:. 1<k<= 5/4`

♦♦ Mean mark (f)(i) 28%.

f.i.	`A(k)`	`= int_(-1)^1 (g(x) – x)\ dx,\ \ k > 1`
		`= int_(-1)^1 ((kx+1)/(x+k) -x)\ dx`
		`= int_(-1)^1 (k+ (1-k^2)/(x+k) -x)`
		`=[kx + (1-k^2) log_e(x+k)-x^2/2]_(-1)^1`
		`=(k+(1-k^2)log_e(1+k)-1/2)-(-k+(1-k^2)log_e(k-1)-1/2)`
		`=2k+(1-k^2)log_e ((1+k)/(k-1))`
		`= (k^2 – 1) log_e ((k – 1)/(k + 1)) + 2k`

♦♦♦ Mean mark part (f)(ii) 4%.

f.ii.
	`0`	`< A(k) < text(Area of)\ Delta ABC`
	`0`	`< A(k) < 1/2 xx AC xx BO`
	`0`	`< A(k) < 1/2 sqrt(2^2 + 2^2) xx (sqrt(1^2 + 1^2))`
	`0`	`< A(k) < 1/2 xx 2 sqrt 2 xx sqrt 2`
	`:. 0`	`< A(k) < 2`

MATRICES, FUR2 2016 VCAA 3

A travel company is studying the choice between air (`A`), land (`L`), sea (`S`) or no (`N`) travel by some of its customers each year.

Matrix `T`, shown below, contains the percentages of customers who are expected to change their choice of travel from year to year.

`{:(qquadqquadqquadqquadqquadquadtext(this year)),(qquadqquadqquadquadAqquadqquadLqquadqquadSqquadquadN),(T = [(0.65,0.25,0.25,0.50),(0.15,0.60,0.20,0.15),(0.05,0.10,0.25,0.20),(0.15,0.05,0.30,0.15)]{:(A),(L),(S),(N):}text(next year)):}`

Let `S_n` be the matrix that shows the number of customers who choose each type of travel `n` years after 2014.

Matrix `S_0` below shows the number of customers who chose each type of travel in 2014.

`S_0 = [(520),(320),(80),(80)]{:(A),(L),(S),(N):}`

Matrix `S_1` below shows the number of customers who chose each type of travel in 2015.

`S_1 = TS_0 = [(478),(d),(e),(f)]{:(A),(L),(S),(N):}`

Find the values missing from matrix `S_1 (d, e, f )`. (1 mark)
Write a calculation that shows that 478 customers were expected to choose air travel in 2015. (1 mark)
Consider the customers who chose sea travel in 2014.

How many of these customers were expected to choose sea travel in 2015? (1 mark)
Consider the customers who were expected to choose air travel in 2015.

What percentage of these customers had also chosen air travel in 2014?

Round your answer to the nearest whole number. (1 mark)

In 2016, the number of customers studied was increased to 1360.
Matrix `R_2016`, shown below, contains the number of these customers who chose each type of travel in 2016.

`R_2016 = [(646),(465),(164),(85)]{:(A),(L),(S),(N):}`

The company intends to increase the number of customers in the study in 2017 and in 2018.
The matrix that contains the number of customers who are expected to choose each type of travel in
2017 (`R_2017`) and 2018 (`R_2018`) can be determined using the matrix equations shown below.

`R_2017 = TR_2016 + BqquadqquadqquadR_2018 = TR_2017 + B`

1. The element in the fourth row of matrix `B` is – 80.
  
  Explain this number in the context of selecting customers for the studies in 2017 and 2018. (1 mark)
2. Determine the number of customers who are expected to choose sea travel in 2018.
  
  Round your answer to the nearest whole number. (2 marks)

Show Answers Only

`d=298, \ e=94, \ f=130`
`(0.65 xx 520) + (0.25 xx 320) + (0.25 xx 80) + (0.50 xx 80) = 478`
`20\ text(customers)`
`71text(%)`
1. `text(80 customers who have no travel in a given)`
  `text(year are removed from the study. This occurs)`
  `text(in both 2017 and 2018.)`
2. `text(190 customers)`

Show Worked Solution

a. `d=298, \ e=94, \ f=130`

b. `(0.65 xx 520) + (0.25 xx 320) + (0.25 xx 80) + (0.50 xx 80) = 478`

♦♦ Mean mark part (b) and (c) was 35% and 45% respectively.

c. `text(Sea Travel in 2014 – 80 customers.)`

`text(Of those 80 customers,)`

`text(Sea Travel in 2015)`	`= 25text(%) xx 80`
	`= 20\ text(customers)`

d. `text(Expected total for air travel in 2015)`

♦♦♦ Mean mark 17%.

`= 478\ text(customers)`

`text(In 2014, 520 customers chose air travel.)`

`text(65% of those chose air travel in 2015)`

`= 65text(%) xx 520`

`= 338\ text(customers)`

`:.\ text(Percentage)`	`= 338/478 xx 100`
	`= 70.71…`
	`= 71text(%)`

e.i. `text(80 customers who have no travel in a given)`

♦ Mean mark 14%.
MARKER’S COMMENT: “80 people chose not to travel” was a common answer that received no marks.

`text(year are removed from the study. This occurs)`

`text(in both 2017 and 2018.)`

e.ii.	`R_2017`	`= TR_2016 + B`
		`= [(0.65,0.25,0.25,0.50),(0.15,0.60,0.20,0.15),(0.05,0.10,0.25,0.20),(0.15,0.05,0.30,0.15)][(646),(465),(164),(85)] + [(80),(80),(40),(−80)]`
		`= [(699.65),(501.45),(176.80),(102.10)]`

`R_2018`	`= TR_2017 + B`
	`= [(0.65,0.25,0.25,0.50),(0.15,0.60,0.20,0.15),(0.05,0.10,0.25,0.20),(0.15,0.05,0.30,0.15)][(699.65),(501.45),(176.80),(102.10)]`
	`= [(755.39),(536.49),(189.75),(118.38)]`

`:. 190\ text(customers are expected to choose)`

`text(sea travel in 2018.)`

CORE, FUR1 2016 VCAA 6-7 MC

Part 1

The histogram below shows the distribution of the number of billionaires per million people for 53 countries.

Using this histogram, the percentage of these 53 countries with less than two billionaires per million people is closest to

`text(49%)`
`text(53%)`
`text(89%)`
`text(92%)`
`text(98%)`

Part 2

The histogram below shows the distribution of the number of billionaires per million people for the same 53 countries as in Part 1, but this time plotted on a `log_10` scale.

Based on this histogram, the number of countries with one or more billionaires per million people is

`text(1)`
`text(3)`
`text(8)`
`text(9)`
`text(10)`

Show Answers Only

`text(Part 1:)\ D`

`text(Part 1:)\ E`

Show Worked Solution

`text(Part 1)`

`text(Percentage with less than 2)`

`= text(countries with less than 2)/text(total countries)`

`= 49/((49 + 2 + 1 + 1))`

`= 49/53`

`~~ 92.4text(%)`

`=> D`

`text(Part 2)`

`text(Let)\ \ x=\ text(number of billionaires per million,)`

`text(Number of countries where)\ \ x >= 1,`

♦ Mean mark 45%.
MARKER’S COMMENT: On a `log_10` scale, 1 is plotted as 0 because `log_10\ 1 = 0`, or `10^0=1`

`=> log_10 x >= 0`

`:.\ text(Number of countries)`

`= 9 + 1`

`= 10`

`=> E`

MATRICES, FUR2 2013 VCAA 2

10 000 trout eggs, 1000 baby trout and 800 adult trout are placed in a pond to establish a trout population.

In establishing this population

- eggs (`E`) may die (`D`) or they may live and eventually become baby trout (`B`)
- baby trout (`B`) may die (`D`) or they may live and eventually become adult trout (`A`)
- adult trout (`A`) may die (`D`) or they may live for a period of time but will eventually die.

From year to year, this situation can be represented by the transition matrix `T`, where

`{:(qquadqquadqquadqquadqquadtext(this year)),((qquadqquadqquadE,quad\ B,quad\ A,\ D)),(T = [(0,0,0,0),(0.4,0,0,0),(0,0.25,0.5,0),(0.6,0.75,0.5,1)]):}{:(),(),(E),(B),(A),(D):}{:(),(),(qquadtext(next year)):}`

Use the information in the transition matrix `T` to
1. determine the number of eggs in this population that die in the first year (1 mark)
2. complete the transition diagram below, showing the relevant percentages. (2 marks)

The initial state matrix for this trout population, `S_0`, can be written as

`S_0 = [(10\ 000),(1000),(800),(0)]{:(E),(B),(A),(D):}`

Let `S_n` represent the state matrix describing the trout population after `n` years.

Using the rule `S_n = T S_(n – 1)`, determine each of the following.
1. `S_1` (1 mark)
2. the number of adult trout predicted to be in the population after four years (1 mark)
The transition matrix `T` predicts that, in the long term, all of the eggs, baby trout and adult trout will die.
1. How many years will it take for all of the adult trout to die (that is, when the number of adult trout in the population is first predicted to be less than one)? (1 mark)
2. What is the largest number of adult trout that is predicted to be in the pond in any one year? (1 mark)
Determine the number of eggs, baby trout and adult trout that, if added to or removed from the pond at the end of each year, will ensure that the number of eggs, baby trout and adult trout in the population remains constant from year to year. (2 marks)

The rule `S_n = T S_(n – 1)` that was used to describe the development of the trout in this pond does not take into account new eggs added to the population when the adult trout begin to breed.

To take breeding into account, assume that 50% of the adult trout lay 500 eggs each year.

The matrix describing the population after one year, `S_1`, is now given by the new rule

`S_1 = T S_0 + 500\ M\ S_0`

where `T=[(0,0,0,0),(0.40,0,0,0),(0,0.25,0.50,0),(0.60,0.75,0.50,1.0)], M=[(0,0,0.50,0),(0,0,0,0),(0,0,0,0),(0,0,0,0)]\ text(and)\ S_0=[(10\ 000),(1000),(800),(0)]`
1. Use this new rule to determine `S_1`. (1 mark)

This pattern continues so that the matrix describing the population after `n` years, `S_n`, is given by the rule

`S_n = T\ S_(n – 1) + 500\ M\ S_(n – 1)`

Use this rule to determine the number of eggs in the population after two years (2 marks)

Show Answers Only

1. `6000`
2. `text(See Worked Solutions)`
1. `text(See Worked Solutions)`
2. `text(See Worked Solutions)`
1. `text(13 years)`
2. `text(Largest number of adult trout is 1325.)`
`text(Add 10 000 eggs, remove 3000 baby trout and add 150)`

`text(150 adult trout to keep the population constant.)`
1. `text(See Worked Solutions)`
2. `text(See Worked Solutions)`

Show Worked Solution

a.i. `text(60% of eggs die in 1st year,)`

`:.\ text(Eggs that die in year 1)`

`= 0.60 xx 10\ 000`

`= 6000`

MARKER’S COMMENT: A 100% cycle drawn at `D` was a common omission. Do not draw loops and edges of 0%!

a.ii.

b.i.	`S_1`	`= TS_0`
		`= [(0,0,0,0),(0.4,0,0,0),(0,0.25,0.5,0),(0.6,0.75,0.5,1)][(10\ 000),(1000),(800),(0)]`
		`= [(0),(4000),(650),(7150)]`

b.ii.	`S_4`	`= T^4S_0`
		`= [(0,0,0,0),(0.4,0,0,0),(0,0.25,0.5,0),(0.6,0.75,0.5,1)]^4[(10\ 000),(1000),(800),(0)]`
		`= [(0),(0),(331.25),(11\ 468.75)]`

`:. 331\ text(trout is the predicted population)`

`text(after 4 years.)`

c.i.

`S_12 = T^12S_0 = [(0),(0),(1.29),(11\ 791)]`

`S_13 = T^13S_0 = [(0),(0),(0.65),(11\ 799)]`

`:.\ text{It will take 13 years (when the trout}`

`text{population drops below 1).}`

c.ii.

`S_1 = TS_0 = [(0),(4000),(650),(7150)]`

`text(After 1 year, 650 adult trout.)`

`text(Similarly,)`

`S_2 = T^2S_0 = [(0),(0),(1325),(10\ 475)]`

`S_3 = T^3S_0 = [(0),(0),(662.5),(11\ 137.5)]`

`S_4 = T^4S_0 = [(0),(0),(331),(11\ 469)]`

`:.\ text(Largest number of adult trout = 1325.)`

d.	`S_0 – S_1 = [(10\ 000),(1000),(800),(0)] – [(0),(4000),(650),(7150)] = [(10\ 000),(−3000),(150),(−7150)]`

`:.\ text(Add 10 000 eggs, remove 3000 baby trout)`

`text(and add 150 adult trout to keep the)`

`text(population constant.)`

e.i.	`S_1`	`= TS_0 + 500MS_0`
		`= [(0),(4000),(650),(7150)] + 500 xx [(0,0,0.5,0),(0,0,0,0),(0,0,0,0),(0,0,0,0)][(10\ 000),(1000),(800),(0)]`
		`= [(0),(4000),(650),(7150)] + 500[(400),(0),(0),(0)]`
		`= [(200\ 000),(4000),(650),(7150)]`

e.ii.

`S_2`

`= TS_1 + 500MS_1`

`= [(0,0,0,0),(0.4,0,0,0),(0,0.25,0.5,0),(0.6,0.75,0.5,1)][(200\ 000),(4000),(650),(7150)]`

`+ 500 xx [(0,0,0.5,0),(0,0,0,0),(0,0,0,0),(0,0,0,0)][(200\ 000),(4000),(650),(7150)]`

`= [(162\ 500),(80\ 000),(1325),(130\ 475)]`

MATRICES, FUR1 2013 VCAA 7 MC

A school has three computer classes, A, B and C. There are 15 students in each class.

Each student is given a mark out of 100 based on their performance in a test.

Matrix `M` below displays the marks obtained by these 45 students, listed by class.

`M = [(56,78,79,43,67,56,80,85,75,89,55,64,95,34,63), (90,45,56,65,76,79,27,45,69,73,70,63,65,34,59), (76,76,89,47,50,66,68,89,88,90,45,67,78,45,87)]{:(A),(B),(C):} quad text (class)`

Two other matrices, `S` and `R`, are defined below.

`S = [(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1)] quad text(and) quad R = [(1,1,1)]`

Which one of the following matrix expressions can be used to generate a matrix that displays the mean mark obtained for each class?

A. `1/45M`

B. `1/3R×M`

C. `1/3R×M×S`

D. `1/15M×S`

E. `1/15S×R×M`

Show Answers Only

`D`

Show Worked Solution

`M`	`xx`	`S`	`=`	`MS`
`3 xx 15`		`15 xx 1`		`3 xx 1`

`MS\ text(represents the total scores in each class.)`

`:. 1/15 MS\ text(is the average score in each class.)`

`rArr D`

Calculus, 2ADV C3 2004 HSC 10b

The diagram shows a triangular piece of land `ABC` with dimensions `AB = c` metres, `AC = b` metres and `BC = a` metres, where `a ≤ b ≤ c`.

The owner of the land wants to build a straight fence to divide the land into two pieces of equal area. Let `S` and `T` be points on `AB` and `AC` respectively so that `ST` divides the land into two pieces of equal area.

Let `AS = x` metres, `AT = y` metres and `ST = z` metres.

Show that `xy = 1/2 bc`. (1 mark)

--- 2 WORK AREA LINES (style=lined) ---
Use the cosine rule in triangle `AST` to show that

`z^2 = x^2 + (b^2c^2)/(4x^2) − bc cos A.` (2 marks)

--- 5 WORK AREA LINES (style=lined) ---
Show that the value of `z^2` in the equation in part (ii) is a minimum when

`x = sqrt((bc)/2)`. (4 marks)

--- 8 WORK AREA LINES (style=lined) ---
Show that the minimum length of the fence is `sqrt(((P − 2b)(P − 2c))/2)` metres, where `P = a + b + c`.

(You may assume that the value of `x` given in part (iii) is feasible.) (2 marks)

--- 5 WORK AREA LINES (style=lined) ---

Show Answers Only

`text(Proof)\ \ text{(See Worked Solutions)}`
`text(Proof)\ \ text{(See Worked Solutions)}`
`text(Proof)\ \ text{(See Worked Solutions)}`
`text(Proof)\ \ text{(See Worked Solutions)}`

Show Worked Solution

i.	`text(Area)\ \ ΔABC`	`= 1/2\ bc sin A`
	`text(Area)\ \ ΔAST`	`= 1/2\ xy sin A`

`text(Area)\ \ ΔAST`	`= 1/2 xx text(Area)\ \ ΔABC\ \ \ text{(given)}`
`1/2\ xy sin A`	`= 1/2 xx 1/2\ bc sin A`
`xy sin A`	`= 1/2\ bc sin A`
`:. xy`	`= 1/2\ bc\ \ …\ text(as required.)`

ii. `text(Using the cosine rule in)\ \ ΔAST,`

`z^2 = x^2 + y^2 − 2xy cos A`

`text(S)text(ince)\ \ xy`	`= 1/2\ bc`
`:. y`	`= (bc)/(2x)`

`:. z^2`	`= x^2 + ((bc)/(2x))^2 − 2x((bc)/(2x)) cos A`
	`= x^2 + (b^2c^2)/(4x^2) − bc cos A`

iii.	`z^2`	`= x^2 + ((b^2c^2)/4)x^(−2) − bc cos A`
	`(d(z^2))/(dx)`	`= 2x − (2b^2c^2)/4 x^(−3)= 2x − (b^2c^2)/(2x^3)`
	`(d^2(z^2))/(dx^2)`	`= 2 + (3b^2c^2)/2 x^(−4)= 2 + (3b^2c^2)/(2x^4)`

`text(SP’s occur when)\ \ (d(z^2))/(dx)=0`

`2x − (b^2c^2)/(2x^3)`	`= 0`
`4x^4 − b^2c^2`	`= 0`
`4x^4`	`= b^2c^2`
`x^4`	`= (b^2c^2)/4`
`x^2`	`= (bc)/2`
`x`	`= sqrt((bc)/2),\ \ \ (x > 0)`

` (d^2(z^2))/(dx^2)=2 + (3b^2c^2)/(2x^4)>0\ \ \ text{(for all}\ xtext{)}`

`:.\ text(A minimum value of)\ z^2\ text(when)\ x = sqrt((bc)/2).`

iv. `cos A = (b^2 + c^2 − a^2)/(2bc)`

`text(When)\ \ x = sqrt((bc)/2),`

`:. z^2`	`= x^2 + (b^2c^2)/(4x^2) − bc cos A`
	`= (bc)/2 + (b^2c^2)/(4((bc)/2)) − bc((b^2 + c^2 − a^2)/(2bc))`
	`= (bc)/2 + (bc)/2 − ((b^2 + c^2 − a^2)/2)`
	`= (2bc – b^2 − c^2 +a^2)/2`
	`= (a^2 − (b^2 − 2bc + c^2))/2`
	`= 1/2[a^2 − (b − c)^2]`
	`= 1/2[(a − (b − c))(a + (b − c))]`
	`= 1/2[(a − b + c)(a + b − c)]`
	` = 1/2[(a + b + c − 2b)(a + b + c − 2c)]`
	`= ((P − 2b)(P − 2c))/2\ \ \ text{(using}\ \ P = a + b + c text{)}`

`:.z = sqrt(((P − 2b)(P − 2c))/2)\ \ text(metres)\ \ …\ text(as required.)`

Functions, EXT1′ F1 2015 HSC 8 MC

The graph of the function `y = f(x)` is shown.

A second graph is obtained from the function `y = f(x).`

Which equation best represents the second graph?

`y^2 = |\ f(x)\ |`
`y^2 = f(x)`
`y = sqrt (f(x))`
`y = f(sqrt x)`

Show Answers Only

`B`

Show Worked Solution

`text(The second graph has a domain)\ \ x=a,\ \ x>=b`

`:.\ text{NOT (A) or (D)}`

`text(S)text(ince)\ \ y`	`= +- sqrt (f(x))`
`y^2`	` = f(x)`

`=> B`

Algebra, STD2 A4 2007 HSC 27a

A rectangular playing surface is to be constructed so that the length is 6 metres more than the width.

Give an example of a length and width that would be possible for this playing surface. (1 mark)

--- 2 WORK AREA LINES (style=lined) ---
Write an equation for the area (`A`) of the playing surface in terms of its length (`l`). (1 mark)

--- 1 WORK AREA LINES (style=lined) ---

A graph comparing the area of the playing surface to its length is shown.
Why are lengths of 0 metres to 6 metres impossible? (1 mark)

--- 2 WORK AREA LINES (style=lined) ---
What would be the dimensions of the playing surface if it had an area of 135 m²? (2 marks)

--- 4 WORK AREA LINES (style=lined) ---

Company `A` constructs playing surfaces.
Draw a graph to represent the cost of using Company `A` to construct all playing surface sizes up to and including 200 m².

Use the horizontal axis to represent the area and the vertical axis to represent the cost. (2 marks)

--- 8 WORK AREA LINES (style=lined) ---
Company `B` charges a rate of $360 per square metre regardless of size.
Which company would charge less to construct a playing surface with an area of 135 m²

Justify your answer with suitable calculations. (1 mark)

--- 2 WORK AREA LINES (style=lined) ---

Show Answers Only

`text(One possibility is a length of 10 m, and a width)`

`text{of 4 m (among many possibilities).}`
`A = l (l – 6)\ \ text(m²)`
`text(Given the length must be 6 m more than)`

`text(the width, it follows that the length)`

`text(must be greater than 6 m.)`
`text(15 m × 9 m)`
`text(Proof)\ \ text{(See worked solutions)}`

Show Worked Solution

i. `text(One possibility is a length of 10 m, and a width)`

`text{of 4 m (among many possibilities).}`

ii. `text(Length) = l\ text(m)`

`text(Width) = (l – 6)\ text(m)`

`:.\ A`

`= l (l – 6)`

iii. `text(Given the length must be 6m more than the width,)`

`text(it follows that the length must be greater than 6 m)`

`text(so that the width is positive.)`

iv. `text(From the graph, an area of 135 m² corresponds to)`

`text(a length of 15 m.)`

`:.\ text(The dimensions would be 15 m × 9 m.)`

vi. `text(Company)\ A\ text(cost) = $50\ 000`

`text(Company)\ B\ text(cost)`	`= 135 xx 360`
	`= $48\ 600`

`:.\ text(Company)\ B\ text(would charge $1400 less)`

`text(than Company)\ A.`

CORE, FUR1 2014 VCAA 6 MC

The dot plot below shows the distribution of the time, in minutes, that 50 people spent waiting to get help from a call centre.

Which one of the following boxplots best represents the data?

Show Answers Only

`A`

Show Worked Solution

`text(There are 50 data points.)`

♦ Mean mark 37%.
MARKER’S COMMENT: A majority of students failed to calculate the outer fence where outliers begin, a step required to get the correct answer.

`Q_1 = 30,\ \ Q_3 = 50\ \ \text{(from dot plot)}`

`text(IQR)\ = 50-30 = 20`

`∴\ text(Outliers occur above)`

`Q3 + 1.5 xx IQR`	`=50 + (1.5 xx 20)`
	`=80\ text(minutes)`
`text(S)text(ince the dot plot has only 2 values above 80,)`

`=> A`

Statistics, STD2 S5 2008 HSC 28a

The following graph indicates `z`-scores of ‘height-for-age’ for girls aged 5 – 19 years.

What is the `z`-score for a six year old girl of height 120 cm? (1 mark)

--- 2 WORK AREA LINES (style=lined) ---
Rachel is 10 ½ years of age.

(1) If 2.5% of girls of the same age are taller than Rachel, how tall is she? (1 mark)

--- 1 WORK AREA LINES (style=lined) ---

(2) Rachel does not grow any taller. At age 15 ½, what percentage of girls of the same age will be taller than Rachel? (2 marks)

--- 4 WORK AREA LINES (style=lined) ---
What is the average height of an 18 year old girl? (1 mark)

--- 1 WORK AREA LINES (style=lined) ---

For adults (18 years and older), the Body Mass Index is given by

`B = m/h^2` where `m = text(mass)` in kilograms and `h = text(height)` in metres.

The medically accepted healthy range for `B` is `21 <= B <= 25`.

What is the minimum weight for an 18 year old girl of average height to be considered healthy? (2 marks)

--- 4 WORK AREA LINES (style=lined) ---
The average height, `C`, in centimetres, of a girl between the ages of 6 years and 11 years can be represented by a line with equation

`C = 6A + 79` where `A` is the age in years.

(1) For this line, the gradient is 6. What does this indicate about the heights of girls aged 6 to 11? (1 mark)

--- 2 WORK AREA LINES (style=lined) ---

(2) Give ONE reason why this equation is not suitable for predicting heights of girls older than 12. (1 mark)

--- 2 WORK AREA LINES (style=lined) ---

Show Answers Only

`1`
(1) `155\ text(cm)`

(2) `text(84%)`
`163\ text(cm)`
`55.8\ text(kg)`
(1) `text(It indicates that 6-11 year old girls)`

`text(grow, on average, 6cm per year)`

(2) `text(Girls eventually stop growing, and the)`

`text(equation doesn’t factor this in.)`

Show Worked Solution

i.	`z text(-score) = 1`

ii.	(1)	`text(If 2 ½ % are taller than Rachel)`
		`=> z text(-score of +2)`
		`:.\ text(She is 155 cm)`

	(2)	`text(At age)\ 15\ ½,\ 155\ text(cm has a)\ z text(-score of –1)`
		`text(68% between)\ z = 1\ text(and)\ –1`
		`=> text(34% between)\ z = 0\ text(and)\ –1`
		`text(50% have)\ z >= 0`

		`:.\ text(% Above)\ z text(-score of –1)`
		`= 50 + 34`
		`= 8text(4%)`

`:.\ text(84% of girls would be taller than Rachel at age)\ 15 ½.`

iii.	`text(Average height of 18 year old has)\ z text(-score = 0)`
	`:.\ text(Average height) = 163\ text(cm)`

iv.	`B = m/h^2`
	`h = 163\ text(cm) = 1.63\ text(m)`

`text(Given)\ \ 21 <= B <= 25,\ text(minimum healthy)`

`text(weight occurs when)\ B = 21`

`=> 21`	`= m/1.63^2`
`m`	`= 21 xx 1.63^2`
	`= 55.794…`
	`= 55.8\ text(kg)\ text{(1 d.p.)}`

v.	(1)	`text(It indicates that 6-11 year old girls, on average, grow)`
		`text(6 cm per year.)`
	(2)	`text(Girls eventually stop growing, and the equation doesn’t)`
		`text(factor this in.)`

FS Resources, 2UG 2014 HSC 28d

An aerial diagram of a swimming pool is shown.

The swimming pool is a standard length of 50 metres but is not in the shape of a rectangle.

(i) Given `AB=8\ text(cm)`, determine the scale of the diagram such that

1 cm = `x` m (1 mark)

(ii) If the length of a carpark next to the pool measured 5 cm (not shown), how long would it be in real life? (1 mark)

(iii) In the diagram of the swimming pool, the five widths are measured to be:

`CD = 21.88\ text(m)`

`EF = 25.63\ text(m)`

`GH = 31.88\ text(m)`

`IJ = 36.25\ text(m)`

`KL = 21.88\ text(m)`

The average depth of the pool is 1.2 m

Calculate the approximate volume of the swimming pool, in cubic metres. In your calculations, use TWO applications of Simpson’s Rule. (3 marks)

Show Answers Only

(i) `x=6.25\ text(m)`

(ii) `31.25\ text(m)`

(iii) `1775\ text(m³)`

Show Worked Solution

(i)	`\ \ \ \ 8\ text(cm)`	`=50\ text(m)`
	`1\ text(cm)`	`=50/8`
		`=6.25\ text(m)`

`:.x=6.25\ text(m)`

(ii) `text{Using scale from (i)}`

`5\ text(cm)`	`=5 xx 6.25`
	`=31.25\ text(m)`

`:.\ text(The carpark would be 31.25 m long)`

(iii)

`h = 50/4 = 12.5\ text(m)`

♦ Mean mark 50%. Be careful not to give away easy marks!

`A`	`~~ h/3 [y_0 + 4(y_1) + y_2]\ \ text(… applied twice)`
	`~~ 12.5/3 [21.88 + 4(25.63) + 31.88]`
	`+ 12.5/3 [31.88 + 4(36.25) + 21.88]`
	`~~ 12.5/3 [156.28] + 12.5/3 [198.76]`
	`~~ 1,479.33\ text(m²)`

`V`	`= Ah`
	`~~ 1479.33 xx 1.2`
	`~~ 1775.2`
	`~~ 1775\ text(m³)`

Inverse Functions, EXT1 2013 HSC 2 MC

The diagram shows the graph `y = f(x)`.

Which diagram shows the graph `y = f^(-1) (x)`?

Show Answers Only

`D`

Show Worked Solution

`f^(-1) (x)\ text(is the reflection of)\ \ f(x)\ \ text(in the line)\ y = x`

`=> D`

Measurement, STD2 M7 2011 HSC 24a

Part of the floor plan of a house is shown. The plan is drawn to scale.

What is the width of the stairwell, in millimetres? (1 mark)

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What are the internal dimensions of the bathroom, in millimetres? (1 mark)

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What is the length `AB`, the internal length of the rumpus room, in millimetres? (1 mark)

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Show Answers Only

`900\ text(mm)`
`2000\ text(mm) xx 2000\ text(mm)`
`9695\ text(mm)`

Show Worked Solution

i.	`900\ text(mm)`

ii.

`2000\ text(mm) xx 2000\ text(mm)`

iii.

`text(Length of Rumpus Room) = AB`

`AB`	`= 3600 + 90 + 2000 + 90 + 3915`
	`=9695\ text(mm)`

Measurement, STD2 M1 2010 HSC 28b

Moivre’s manufacturing company produces cans of Magic Beans. The can has a diameter of 10 cm and a height of 10 cm.

Cans are packed in boxes that are rectangular prisms with dimensions 30 cm × 40 cm × 60 cm.

What is the maximum number of cans that can be packed into one of these boxes? (1 mark)

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The shaded label on the can shown wraps all the way around the can with no overlap. What area of paper is needed to make the labels for all the cans in this box when the box is full? (2 marks)

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The company is considering producing larger cans. Monica says if you double the diameter of the can this will double the volume.

Is Monica correct? Justify your answer with suitable calculations. (2 marks)

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The company wants to produce a can with a volume of 1570 cm³, using the least amount of metal. Monica is given the job of determining the dimensions of the can to be produced. She considers the following graphs.
What radius and height should Monica recommend that the company use to minimise the amount of metal required to produce these cans? Justify your choice of dimensions with reference to the graphs and/or suitable calculations. (2 marks)

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Show Answers Only

`72\ text(cans)`
`20\ 358\ text{cm² (nearest cm²)}`
`text(Monica is incorrect because the volume)`

`text(doesn’t double. It increases by a factor of 4.)`
`text(Radius 6.3 cm and height 12.6 cm.)`

Show Worked Solution

♦♦ Mean mark 27%

i.	`text(Maximum # Cans)`	`= 4 xx 3 xx 6`
		`= 72\ text(cans)`

♦ Mean mark 38%
MARKER’S COMMENT: Many students didn’t account for the clearance of 0.5 cm at the top and bottom of each can.

ii.	`text(Label Area)\ text{(1 can)}`	`= 2 pi rh`
		`= 2 xx pi xx 5 xx 9`
		`= 90 pi`
		`= 282.7433…\ text(cm²)`

`:.\ text(Label Area)\ text{(72 cans)}`

`= 72 xx 282.7433…`

`= 20\ 357.52…`

`= 20\ 358\ text(cm²)` `text{(nearest cm²)}`

♦ Mean mark 44%
MARKER’S COMMENT: Many students performed calculations in this part without concluding if Monica is correct or not. Read the question carefully.

iii.	`text(Original volume)`	`= pi r^2 h`
		`= pi xx 5^2 xx 10`
		`= 785.398…\ text(cm³)`

`text(If the diameter doubles, radius) = 10\ text(cm)`

`text(New volume)`	`= pi xx 10^2 xx 10`
	`= 3141.592…\ text(cm³)`

`:.\ text(Monica is incorrect because the volume)`

`text(doesn’t double. It increases by a factor of 4.)`

♦♦ Mean mark 26%

iv.

`text(Minimum metal used when surface area is a minimum.)`

`text(From graph, minimum surface area when)\ r = 6.3\ text(cm)`

`text(When)\ r = 6.3\ text(cm,)\ h = 12.6\ text(cm)\ \ \ text{(from graph)}`

`:.\ text(She should recommend radius 6.3 cm and height 12.6 cm)`

Financial Maths, STD2 F4 2010 HSC 28a

The table shows monthly home loan repayments with interest rate changes from February to October 2009.

What is the change in monthly repayments on a $250 000 loan from February 2009 to April 2009? (1 mark)

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Xiang wants to borrow $307 000 to buy a house.

Xiang’s bank approves loans for customers if their loan repayments are no more than 30% of their monthly gross salary.

Xiang’s monthly gross salary is $6500.

If she had applied for the loan in October 2009, would her bank have approved her loan?

Justify your answer with suitable calculations. (3 marks)

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Jack took out a loan at the same time and for the same amount as Xiang.

Graphs of their loan balances are shown.

Identify TWO differences between the graphs and provide a possible explanation for each difference, making reference to interest rates and/or loan repayments. (2 marks)

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Show Answers Only

`text(Monthly repayments decrease by $15)`
`text(S)text(ince repayments of 1987.29 > 1950, the loan)`
`text(would not have been approved.)`
`text(Differences)`
`text(Jack’s loan balance falls more sharply for first 12 years)`
`text(Jack’s loan balance falls less sharply between years 12-30.)`
`text(Explanation)`
`text(Jack made larger repayments for first 12 years, or)`
`text(Jack made the same repayments but had a lower interest rate)`
`text(for the first 12 years.)`
`text(Jack made smaller repayments in years 12-30.)`

Show Worked Solution

i.	`text(Repayment)\ text{(Feb 09)}`	`= 1588`
	`text(Repayment)\ text{(Apr 09)}`	`= 1573`

`text(Difference) = 1588\-1573 = 15`

`:.\ text(Monthly repayments decrease by $15)`

♦ Mean mark 39%
MARKER’S COMMENT: Borrowing $307,000 can be achieved by borrowing $300,000, and then `7` times the table repayment value for borrowing $1000.

ii.

`text(Loan) = $307\ 000`

`text{Repayments (Oct 09)}`	`= 1942 + (7 xx 6.47)`
	`= 1942 + 45.29`
	`= $1987.29\ text(per month)`

`text(30% Gross salary)`	`= 6500 xx\ text(30%)`
	`= $1950\ text(per month)`

`:.\ text(S)text(ince repayments of $1987.29 > $1950, the loan)`

`text(would not have been approved.)`

iii. `text(Differences)`

`text(Jack’s loan balance falls more sharply for first 12 years)`

`text(Jack’s loan balance falls less sharply between years 12-30.)`

`text{Explanation(s)}`

♦ Mean mark 36%
MARKER’S COMMENT: Explanations were generally poor and many failed to refer directly to the graphs shown, or reference Xiang or Jack directly.

`text(Jack made larger repayments for 1st 12 years, or)`

`text(Jack made the same repayments but had a)`

`text(lower interest rate for the first 12 years.)`

`text(Jack made smaller repayments in years 12-30.)`

Statistics, STD2 S1 2010 HSC 26b

A new shopping centre has opened near a primary school. A survey is conducted to determine the number of motor vehicles that pass the school each afternoon between 2.30 pm and 4.00 pm.

The results for 60 days have been recorded in the table and are displayed in the cumulative frequency histogram.

Find the value of Χ in the table. (1 mark)

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On the cumulative frequency histogram above, draw a cumulative frequency polygon (ogive) for this data. (1 mark)
Use your graph to determine the median. Show, by drawing lines on your graph, how you arrived at your answer. (1 mark)
Prior to the opening of the new shopping centre, the median number of motor vehicles passing the school between 2.30 pm and 4.00 pm was 57 vehicles per day.

What problem could arise from the change in the median number of motor vehicles passing the school before and after the opening of the new shopping centre?

Briefly recommend a solution to this problem. (2 marks)

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Show Answers Only

`15`
`text(Problems)`
`text(- increased traffic delays)`
`text(- increased danger to students leaving school)`
`text(Solutions)`
`text(- signpost alternative routes around school)`
`text(- decrease the speed limit in the area)`

Show Worked Solution

i.	`X`	`= 25\ -10`
		`= 15`

♦♦♦ Mean mark 18%
MARKER’S COMMENT: The ogive was poorly drawn with many students incorrectly joining the middle of each column rather than from corner to corner.

ii.

♦♦ Mean mark 25%
MARKER’S COMMENT: Many students did not “show by drawing lines on the graph” as the question asked.

iii. `text(Median)\ ~~155`

♦ Mean mark 47%
MARKER’S COMMENT: Short answers were often the best. Be concise when you can.

iv.	`text(Problems)`
	`text(- increased traffic delays)`
	`text(- increased danger to students leaving school)`

	`text(Solutions)`
	`text(- signpost alternative routes around school)`
	`text(- decrease the speed limit in the area)`

Algebra, STD2 A4 2013 HSC 30a

Wind turbines, such as those shown, are used to generate power.

In theory, the power that could be generated by a wind turbine is modelled using the equation

`T = 20\ 000w^3`

where	`T` is the theoretical power generated, in watts
	`w` is the speed of the wind, in metres per second.

Using this equation, what is the theoretical power generated by a wind turbine if the wind speed is 7.3 m/s ? (1 mark)

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In practice, the actual power generated by a wind turbine is only 40% of the theoretical power.

If `A` is the actual power generated, in watts, write an equation for `A` in terms of `w`. (1 mark)

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The graph shows both the theoretical power generated and the actual power generated by a particular wind turbine.

Using the graph, or otherwise, find the difference between the theoretical power and the actual power generated when the wind speed is 9 m/s. (1 mark)

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A particular farm requires at least 4.4 million watts of actual power in order to be self-sufficient.

What is the minimum wind speed required for the farm to be self-sufficient? (1 mark)

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A more accurate formula to calculate the power (`P`) generated by a wind turbine is

`P = 0.61 xx pi xx r^2 × w^3`

where	`r` is the length of each blade, in metres
	`w` is the speed of the wind, in metres per second.

Each blade of a particular wind turbine has a length of 43 metres.The turbine operates at a wind speed of 8 m/s.

Using the formula above, if the wind speed increased by 10%, what would be the percentage increase in the power generated by this wind turbine? (3 marks)

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Show Answers Only

`7\ 780\ 340\ text(watts)`
`8000w^3`
`8.8\ text(million watts, or 8 748 000 watts)`
`w = 8.2\ text(m/s)\ \ \ text{(1 d.p.)}`
`text(33%)`

Show Worked Solution

i.	`T=20\ 000w^3`
	`text(If)\ \ w = 7.3`

`T`	`=20\ 000 xx (7.3)^3`
	`= 7\ 780\ 340\ text(watts)`

♦ Mean mark 34%

ii.

`text(We know)\ A = 40% xx T`

`=> A`	`=0.4 xx 20\ 000 xx w^3`
	`=8000w^3`

♦ Mean mark 38%

iii.	`text(Solution 1)`
	`text(At)\ w=9`
	`A = text(5.8 million watts)\ \ \ text{(from graph)}`
	`T = text(14.6 million watts)\ \ \ text{(from graph)}`

`text(Difference)`	`= text(14.6 million)\-text(5.8 million)`
	`= text(8.8 million watts)`

`text(Alternative Solution)`

`text(At)\ w=9`

`T`	`= 20\ 000 xx 9^3`
	`= 14\ 580\ 000\ text(watts)`

`A`	`= 8000 xx 9^3`
	`= 5\ 832\ 000\ text(watts)`

`text(Difference)`	`=14\ 580\ 000\-5\ 832\ 000`
	`=8\ 748\ 000\ \ text(watts)`

♦♦ Mean mark 25%
COMMENT: Students need to be comfortable in finding the cube roots of values – a calculation that can be required in a number of topic areas and is regularly examined.

iv.

`text(Find)\ w\ text(if)\ A=4.4\ text(million)`

`8000w^3`	`= 4\ 400\ 000`
`w^3`	`= (4\ 400\ 000)/8000`
	`= 550`

`:. w`	`= root(3)(550)`
	`=8.1932…`
	`=8.2\ text(m/s)\ \ \ text{(1 d.p.)}`

`:.\ text(The minimum wind speed required is 8.2 m/s)`

♦ Mean mark 41%
MARKER’S COMMENT: Students are reminded that a % increase requires them to find the difference in power generated at different wind speeds and divide this result by the original power output, as shown in the Worked Solution.

v.	`text(Find)\ P\ text(when)\ w=8\ text(and)\ r=43`

`P`	`= 0.61 xx pi xx r^2 xx w^3`
	`= 0.61 xx pi xx 43^2 xx 8^3`
	`= 1\ 814\ 205.92\ text(watts)`

`text(When speed of wind)\ uarr10%`

`w′ = 8 xx 110text(%) = 8.8\ text(m/s)`

`text(Find)\ P\ text(when)\ w′ = 8.8`

`P`	`=0.61 xx pi xx 43^2 xx 8.8^3`
	`= 2\ 414\ 708.08\ text(watts)`

`text(Increase in Power)`	`=2\ 414\ 708.08\-1\ 814\ 205.92`
	`= 600\ 502.16`

`:.\ text(% Power increase)`	`= (600\ 502.16)/(1\ 814\ 205.92)`
	`= 0.331`
	`= text(33%)\ \ \ text{(nearest %)}`

Algebra, STD2 A4 2012 HSC 30b

A golf ball is hit from point `A` to point `B`, which is on the ground as shown. Point `A` is 30 metres above the ground and the horizontal distance from point `A` to point `B` is 300 m.

The path of the golf ball is modelled using the equation

`h = 30 + 0.2d-0.001d^2`

where

`h` is the height of the golf ball above the ground in metres, and

`d` is the horizontal distance of the golf ball from point `A` in metres.

The graph of this equation is drawn below.

What is the maximum height the ball reaches above the ground? (1 mark)

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There are two occasions when the golf ball is at a height of 35 metres.

What horizontal distance does the ball travel in the period between these two occasions? (1 mark)

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What is the height of the ball above the ground when it still has to travel a horizontal distance of 50 metres to hit the ground at point `B`? (1 mark)

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Only part of the graph applies to this model.

Find all values of `d` that are not suitable to use with this model, and explain why these values are not suitable. (2 marks)

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Show Answers Only

`40 text(m)`
`140 text(m)`
`text(17.5 m)`
`d < 0\ text(and)\ d>300`

Show Worked Solution

i. `text(Max height) = 40 text(m)`

COMMENT: With a mean mark of 92% in (i), a classic example of low hanging fruit in later questions.

ii. `text(From graph)`

`h = 35\ text(when)\ x = 30\ text(and)\ x = 170`

`:.\ text(Horizontal distance)`	`= 170-30`
	`= 140\ text(m)`

iii. `text(Ball hits ground at)\ x = 300`

MARKER’S COMMENT: Responses for (iii) in the range `17<=\ h\ <=18` were deemed acceptable estimates read off the graph.

`=>text(Need to find)\ y\ text(when)\ x = 250`

`text(From graph,)\ y = 17.5 text(m)\ text(when)\ x = 250`

`:.\ text(Height of ball is 17.5 m at a horizontal)`

`text(distance of 50m before)\ B.`

iv. `text(Values of)\ d\ text(not suitable).`

♦♦♦ Mean mark (iv) 12%
MARKER’S COMMENT: Many students did not refer to the domain `d>300` as unsuitable to the model.

`text(If)\ d < 0 text(, it assumes the ball is hit away)`

`text(from point)\ B text(. This is not the case in our)`

`text(example.)`

`text(If)\ d > 300 text(,)\ h\ text(becomes negative which is)`

`text(not possible given the ball cannot go)`

`text(below ground level.)`